CN107273904A - Image processing method and system - Google Patents
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- CN107273904A CN107273904A CN201710396923.7A CN201710396923A CN107273904A CN 107273904 A CN107273904 A CN 107273904A CN 201710396923 A CN201710396923 A CN 201710396923A CN 107273904 A CN107273904 A CN 107273904A
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
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Abstract
The present invention provides a kind of image processing method and system, and methods described includes:Image data set is obtained, described image data set includes the first volume data, and first volume data includes at least one data Layer, and at least one described data Layer includes at least one voxel;Target region of interest is determined in first volume data, the determination target region of interest includes:Initial area-of-interest and area-of-interest to be combined are obtained in first volume data;With the initial area-of-interest and the area-of-interest to be combined is merged to obtain the target region of interest.Methods described also includes transmission area-of-interest and cuts the interesting region of perception.
Description
【Technical field】
The present invention relates to a kind of method and system of image procossing, more particularly to a kind of area-of-interest to medical image
(including 2 dimensional region interested is (alternatively referred to as:Two-dimentional ROI) and/or three-D volumes interested are (alternatively referred to as:Three-dimensional VOI))
Processing method and system.
【Background technology】
Generally provided in medical image the poster processing soft some processing area-of-interest (2 dimensional region interested and/or
Three-D volumes interested) instrument, for analyzing and showing two-dimentional ROI (Region of Interest)/three-dimensional VOI
The characteristic information of (Volume of Interest), for example, statistics feature.On the one hand, user wishes to realize two kinds of functions:
The two-dimentional ROI/ of identical two-dimensional position drafting formed objects, shape in the different pieces of information layer of a medical image volume data is three-dimensional
VOI, counts these two-dimentional ROI/ three-dimensional VOI and is compared;Drawn in the identical three-dimensional position of multiple medical image volume datas
The two-dimentional ROI/ three-dimensional VOI of formed objects, shape, count these two-dimentional ROI/ three-dimensional VOI and are compared.At present, one is drawn
Individual two-dimentional ROI/ three-dimensionals VOI is needed to take a certain time, and hand drawn two dimension ROI/ three-dimensionals VOI is difficult in different numbers
According to drafting out position, shape, equirotal two-dimentional ROI and/or three-dimensional VOI in layer and/or different volume datas.
On the other hand, there is problems with most of two-dimentional ROI/ three-dimensionals VOI instruments:The two-dimentional ROI/ each drawn out
Three-dimensional VOI is typically continuous region, but if the subregion inside the continuum is not that user is interested or not
It is that user is desired with analysis, traditional two-dimentional ROI/ three-dimensional VOI instruments can not generally remove the uninterested part of user
To meet this demand.In addition, each two dimension ROI/ three-dimensionals VOI can show its corresponding statistics feature, it is multiple when existing
During two-dimentional ROI/ three-dimensionals VOI situation, it is impossible to obtain and show the overall statistics features of multiple two-dimentional ROI/ three-dimensionals VOI.This
Application provides the method and system of the functions such as a kind of positioning, transmission, cutting, merging with two dimension ROI/ three-dimensionals VOI, to solve
Problem above and a variety of demands for meeting user.
【The content of the invention】
A kind of image processing method, it is characterised in that:Methods described includes:Obtain image data set, described image data
Collection includes the first volume data, and first volume data includes at least one data Layer, and at least one described data Layer is comprising at least
One voxel;Target region of interest is determined in first volume data, the determination target region of interest includes:
Initial area-of-interest and area-of-interest to be combined are obtained in first volume data;With the merging initial region of interest
Domain and the area-of-interest to be combined are to obtain the target region of interest.
Further, the initial area-of-interest is including at the beginning of at least one initial 2 dimensional region interested or at least one
Begin three-D volumes interested, and the target region of interest includes at least one target 2 dimensional region interested or at least one mesh
Mark three-D volumes interested.
Further, methods described further comprises:Transmit the initial area-of-interest, the transmission initial sense
Interest region includes obtaining the second volume data, determines second place information, and the second place information initially feels emerging including described
Three-dimensional coordinate position of the voxel in first volume data in interesting region, according to the second place information, in institute
The area-of-interest after the generation transmission of the second volume data is stated, area-of-interest to be combined is drawn in second volume data, and
Merge the area-of-interest after the transmission and the area-of-interest to be combined.
Further, methods described further comprises transmitting the target region of interest, the transmission target sense
Interest region includes:First position information is determined, the first position information includes one in the target region of interest
Three-dimensional coordinate position of the voxel in first volume data;Obtain the first transmission depth of the first direction of transfer, described first
Direction of transfer and the first angle of plane formation where first data Layer in first volume data;Obtain the second transmission side
To the second transmission depth, planar shaped where first data Layer in second direction of transfer and first volume data
Into the second angle;Determine the first transmission depth and the volume data in the second corresponding scope of transmission depth at least one the
Two data Layers;With according to the first position information, the region of interest after transmitting is generated at least one described second data Layer
Domain.
Methods described further comprises drawing area-of-interest to be combined in first volume data;With
Merge the area-of-interest after the transmission and the area-of-interest to be combined.
Further, the initial area-of-interest of acquisition includes drafting source area-of-interest, and it is emerging to cut the source sense
Interesting region is to obtain the initial area-of-interest.
Further, the cutting initial area-of-interest includes:Being drawn in first volume data needs to cut
Area-of-interest to be cut;With removed from the initial area-of-interest area-of-interest to be cut with it is described initially
The common factor of area-of-interest.
Further, the initial area-of-interest of acquisition includes:At least two are drawn in first volume data not
Same area-of-interest to be combined;And merge at least two different area-of-interest to be combined, it is described first to generate
Beginning area-of-interest.
Further, the target region of interest includes characteristic information, and methods described further comprises analyzing the mesh
The characteristic information of area-of-interest is marked, the characteristic information includes statistics characteristic information, and the statistics characteristic information is root
The information obtained according to multiple voxel statistical analyses in the target region of interest.
Further, a kind of image processing system, including:Processor;And memory, for store instruction, the finger
When order is by the computing device, the system is caused to realize the operation in methods described.
【Brief description of the drawings】
Fig. 1 is an illustrative diagram of the image processing system according to some embodiments of the present application;
Fig. 2 is one of the computing device of the image processing server according to some embodiments of the present application exemplary
Schematic diagram;
Fig. 3 is an illustrative diagram of the processing engine according to some embodiments of the present application;
Fig. 4 is an illustrative diagram of the processing module according to some embodiments of the present application;
Fig. 5 is a kind of exemplary process diagram of the processing image according to some embodiments of the present application;
Fig. 6 is determination area-of-interest (2 dimensional region/said three-dimensional body interested according to some embodiments of the present application
Product) a kind of exemplary process diagram;
Fig. 7 A are cutting area-of-interest (2 dimensional region/three-dimensionals interested according to some embodiments of the present application
Volume) a kind of exemplary process diagram;
Fig. 7 B are the area-of-interests (2 dimensional region/three-D volumes interested) according to some embodiments of the present application
An illustrative diagram;
Fig. 7 C are cutting area-of-interest (2 dimensional region/three-dimensionals interested according to some embodiments of the present application
Volume) an illustrative diagram;
Fig. 8 A are a kind of exemplary flows of the transmission 2 dimensional region interested according to some embodiments of the present application
Figure;
Fig. 8 B are an illustrative diagrams of the 2 dimensional region interested according to some embodiments of the present application;
Fig. 8 C are one of the 2 dimensional region interested after the transmission according to some embodiments of the present application exemplary
Schematic diagram;
Fig. 9 A are transmission area-of-interest (2 dimensional region/three-dimensionals interested according to some embodiments of the present application
Volume) a kind of exemplary process diagram;
Fig. 9 B are an exemplary signals of the transmission 2 dimensional region interested according to some embodiments of the present application
Figure;
Fig. 9 C are an exemplary signals of the transmission three-D volumes interested according to some embodiments of the present application
Figure;
Figure 10 A are merging area-of-interest (2 dimensional region/three-dimensionals interested according to some embodiments of the present application
Volume) a kind of exemplary process diagram;
Figure 10 B are area-of-interest (2 dimensional region/said three-dimensional bodies interested according to some embodiments of the present application
Product) an illustrative diagram;And
Figure 10 C be after the merging according to some embodiments of the present application area-of-interest (2 dimensional region interested/
Three-D volumes) an illustrative diagram.
【Embodiment】
Many details are elaborated in the following description to fully understand the present invention.But the present invention can be with
Much it is different from other manner described here to implement, those skilled in the art can be in the situation without prejudice to intension of the present invention
Under do similar popularization, therefore the present invention is not limited to the specific embodiments disclosed below.
Although the application is made that various references to some of the system according to embodiments herein module, however,
Any amount of disparate modules can by using and operate on image processing system and/or processor.The module is only to say
Bright property, and the different aspect of the system and method can use disparate modules.
It should be noted that the region of interest ROI in the application can refer to corresponding sense in one or more layers data Layer
Interest region or volume of interest, and VOI can be two layers or multi-layer data layer in corresponding volume of interest (for example, VOI can
To be a kind of three-dimensional ROI).2 dimensional region ROI interested in the application can refer to corresponding interested in layer data layer
2 dimensional region.Embodiments described herein can apply to area-of-interest (two-dimentional ROI and/or three-dimensional VOI).At some
In embodiment, area-of-interest can include two dimension ROI and/or three-dimensional VOI.
Flow chart used herein is used for illustrating the operation according to performed by the system of embodiments herein.Should
Understand, before or operation below not necessarily accurately carry out in sequence.On the contrary, can be handled according to inverted order or simultaneously
Various operations.Meanwhile, or other operations are added to during these, or remove a certain step or number step operation from these processes.
It should be noted that " first ", " second ", " the 3rd ", " the 4th ", " the 5th " in the application etc. is convenient only for description, and
Specific an order or title are not indicated that.
Fig. 1 is an illustrative diagram of the image processing system 100 according to some embodiments of the present application.Should
Image processing system 100 can include imaging system 110, image processing server 120, a network 130 and one
Individual database 140.In certain embodiments, imaging system 110 can be independent imaging device, or multi-mode imaging system.
In certain embodiments, image processing server 120 can be analyzed the information of acquisition, handled, and/or output processing knot
Really.
Imaging system 110 can include the combination of single imaging device, or multiple different imaging devices.The imaging device
It can be imaged by scanning a target.In certain embodiments, the imaging device can be that a medical imaging is set
It is standby.The medical imaging devices can gather the image information of partes corporis humani position.In certain embodiments, imaging system 110 can
To be positron e mission computed tomography system (Positron Emission Tomography, PET), single photon hair
Penetrate computerized tomograph system (Single Photon Emission Computed Tomography, SPECT), computer
Tomographic system (Computed Tomography, CT), magnetic resonance imaging system (Magnetic Resonance
Imaging, MRI), digital radiation toning system (Digital Radiography, DR), computed tomography Colonography
System (Computed Tomography Colonography, CTC) etc., or several combinations.Imaging system 110 can include
One or more scanners.The scanner can be digital subtraction angiography scanner (Digital Subtraction
Angiography, DSA), magnetic resonance angiography scanner (Magnetic Resonance Angiography, MRA), meter
Calculation machine Tomography Angiography scanner (Computed Tomography Angiography, CTA), positron emission is calculated
Machine tomography scanner (PET Scanner), single photon emission computed tomography scanner (SPECT Scanner),
Computed tomograph scanner system scanner (CT Scanner), MRI scan instrument (MRI Scanner), digital radiation shows
Shadow scanner (DR Scanner), multi-modal scanner (Multi-modality Scanner) etc., or several combinations.One
In a little embodiments, the multi-modal scanner can be CT-PET scanners (Computed Tomography-Positron
Emission Tomography scanner), SPECT-MRI scanners (Single Photon Emission Computed
Tomography-Magnetic Resonance Imaging scanner), PET-MRI scanners (Positron
Emission Tomography-Magnetic Resonance Imaging scanner), DSA-MRI scanners (Digital
Subtraction Angiography-Magnetic Resonance Imaging scanner) etc..
Image processing server 120 can handle the data message of acquisition.Image processing server 120 can with logarithm it is believed that
Breath carries out denoising, removes the processing such as image artifacts, image segmentation, image rendering, image registration, image co-registration, image reconstruction.
In some embodiments, the operation such as image processing server 120 can be drawn to two-dimensional image ROI/ three-dimensionals VOI, be edited.
In some embodiments, the data message can include text message, image information, acoustic information, video information etc., or several
Combination.In certain embodiments, image processing server 120 can include a processing engine 122, a process cores, one
Individual or multiple memories etc., or several combinations.For example, image processing server 120 can include central processing unit
(Central Processing Unit, CPU), application specific integrated circuit (Application-Specific Integrated
Circuit, ASIC), dedicated instruction processor (Application-Specific Instruction-Set Processor,
ASIP), graphics processor (Graphics Processing Unit, GPU), physical manipulations processor (Physics
Processing Unit, PPU), digital signal processor (Digital Signal Processor, DSP), field-programmable
Logic gate array (Field Programmable Gate Array, FPGA), programmable logic device (Programmable
Logic Device, PLD), controller (Controller), micro controller unit (Microcontroller unit), processing
Device (Processor), microprocessor (Microprocessor), arm processor (Advanced RISC Machines) etc., or
Several combinations.In certain embodiments, image processing server 120 can handle the image letter obtained from imaging system 110
Breath.In certain embodiments, image processing server 120 can handle the figure for coming from database 140 or other storage devices
As information.The result of the processing information of image processing server 120 can be stored in internal storage, database 140 or other outside
In portion's data source.
In certain embodiments, image processing server 120 can directly receive the instruction of user, and perform corresponding figure
As processing operation.In certain embodiments, user can pass through the access images of network 130 using a remote terminal (not shown)
Processing server 120.The result of the processing of image processing server 120 can be presented directly to user, or be sent by network 130
To remote terminal, so that user checks.
Network 130 can be single network, or multiple heterogeneous networks combination.For example, network 130 can be a local
Net (local area network (LAN)), wide area network (wide area network (WAN)), common network, private network,
It is proprietary network, public switch telephone network (public switched telephone network (PSTN)), internet, wireless
Network, virtual network, MAN, telephone network etc., or several combinations.Network 130 can include multiple Network Access Points,
For example, the wired or wireless access point including super joint, WAP, base station, internet exchange point etc..By these
Access point, image processing server 120 and/or imaging system 110 can be sent with access network 130 and by network 130 and/or
Receive data message.It is convenient to understand, now illustrate by taking the imaging system 110 in field of medical images as an example, but the application is not
It is confined in this scope of embodiments.For example, imaging system 110 can be computed tomography (Computed
Tomography, CT) or magnetic resonance imaging (Magnetic Resonance Imaging, MRI), image processing system 100
Network 130 can include wireless network (bluetooth, wireless local area network (WLAN, Wi-Fi, WiMax etc.),
Mobile network's (2G, 3G, 4G signal etc.) or other connected modes (VPN (Virtual Private Network,
VPN network, near-field communication (Near Field Communication, NFC), ZigBee etc.), are shared).In some embodiments
In, network 130 can be used for the communication of image processing system 100, receive the information inside or outside image processing system 100,
To the inside other parts of image processing system 100 or outside transmission information.In certain embodiments, imaging system 110, at image
It can be combined between reason server 120 and database 140 by wired connection, wireless connection or wired connection with wireless connection
Mode access network 130.
Database 140 can be with storage information.Database 140 can be set up in the equipment with store function.Database
140 can be local, or long-range.In certain embodiments, database 140 or other the interior storages of image processing system 100
Equipment can store various information, such as view data.In certain embodiments, in database 140 or system other are deposited
It can be the medium with read/write function to store up equipment.Other storage devices can be internal system in database 140 or system
Equipment, or system external equipment.The connected mode of other storage devices can be wired in database 140 and system, or
Wireless.Other storage devices can include hierarchical database, network database, relational expression in database 140 or system
Database, or several combinations.Other storage devices will can be recycled after information digitalization in database 140 or system
The storage device of electricity, the mode such as magnetically or optically is stored.
Other storage devices can be the equipment using electric energy mode storage information in database 140 or system, for example, with
Machine access memory (Random Access Memory, RAM), read-only storage (Read Only Memory, ROM) etc., or
Several combinations.The random access memory ram can include dekatron, selectron, delay line storage, WILLIAMS-DARLING Ton
Pipe, dynamic RAM (Dynamic Random Access Memory, DRAM), SRAM (Static
Random Access Memory, SRAM), IGCT random access memory (Thyristor Random Access Memory, T-
RAM), zero capacitance random access memory (Zero-capacitor Random Access Memory, Z-RAM) etc., or several groups
Close.The read only memory ROM can include magnetic bubble memory, A.O. linear memory, thin-film memory, magnetic plated wire memeory,
Magnetic core internal memory, magnetic drum memory, CD drive, hard disk, tape, phase-change memory element, flash memory, the electronics formula of erasing can make carbon copies read-only
Memory, Erasable Programmable Read Only Memory EPROM, programmable read only memory, Mask ROM, racing track internal memory, can power transformation
Resistive memory, programmable metallization unit etc., or several combinations.Other storage devices can be in database 140 or system
Utilize the equipment of magnetic energy mode storage information, such as hard disk, floppy disk, tape, core memory, magnetic bubble memory, USB flash disk, flash memory
Deng.Other storage devices can be the equipment using optical mode storage information, such as CD or DVD in database 140 or system
Deng.Other storage devices can be the equipment using magneto-optic mode storage information, such as magneto-optic disk in database 140 or system
Deng.The access mode of other storage devices can be random storage, serial access storage, read-only deposit in database 140 or system
Storage etc., or several combinations.Other storage devices can be impermanent memory memory in database 140 or system, or forever
Long mnemonic.Above-mentioned storage device is some examples enumerated, and the storage device that the system can be used is simultaneously
It is not limited to this.
In certain embodiments, database 140 can be one of imaging system 110 and/or image processing server 120
Point.In certain embodiments, database 140 can be independent, be directly connected with network 130.In certain embodiments, data
Storehouse 140 can store the data collected from imaging system 110, image processing server 120 and/or network 130.In some implementations
In example, the various data that database 140 is utilized, produced and/or exported in being worked with storage image processing server 120.
In certain embodiments, database 140 and imaging system 110, the connection of image processing server 120 and/or network 130 or logical
Letter can be wired, or wireless, or two kinds of combination.In certain embodiments, imaging system 110 can be directly or by
Network 130 accesses database 140, image processing server 120 etc..
It should be noted that above-mentioned image processing server 120 and/or database 140 can actually exist in imaging system
In system 110, or corresponding function completed by cloud computing platform.The cloud computing platform can include the storage based on data storage
Type cloud platform, the calculation type cloud platform based on processing data and the synthesis cloud computing platform for taking into account data storage and processing.
Cloud platform used in imaging system 110 can be public cloud, private clound, community cloud or mixed cloud etc..For example, according to actual need
Will, image information and/or data message that imaging system 110 is exported can be calculated and/or deposited by user's cloud platform
Storage, can also be calculated and/or be stored by local image processing server 120 and/or database 140.
It should be noted that the description for image processing system 100 above, only for convenience of description, can not be this Shen
It please be limited within the scope of illustrated embodiment.It is appreciated that for those skilled in the art, understanding the original of the system
After reason, modules may be combined in the case of without departing substantially from this principle, or constitute subsystem and other
Module is connected, and the configuration to image processing system 100 carries out various modifications and variations.But these modifications and variations are still retouched more than
In the range of stating.For example, database 140 can be the cloud computing platform with data storage function, including it is public cloud, privately owned
Cloud, community cloud and mixed cloud etc..Such deformation, within the protection domain of the application.
Fig. 2 is one of the computing device 200 of the image processing server 120 according to some embodiments of the present application
Illustrative diagram.The particular system disclosed in the application can be realized and/or implemented to computing device 200.In the present embodiment
Particular system explains a hardware platform for including user interface using functional block diagram.Computing device 200 can be implemented currently
The one or more assemblies of the image processing server 120 of description, module, unit, subelement.In addition, image processing server
120 can be realized by computing device 200 by its hardware device, software program, firmware and combinations thereof.Computing device
200 can be the computer that the computer of general purpose or one have specific purpose.Two kinds of computers can be used for
Realize the particular system in the present embodiment.For convenience's sake, a computing device is only depicted in Fig. 2, but the present embodiment
The correlation computer function of described progress information processing and pushed information can be in a distributed fashion, it is similar by one group
What platform was implemented, the processing load of decentralized system.
As shown in Fig. 2 computing device 200 can include internal communication bus 210, processor (processor) 220, only
Reading memory (ROM) 230, random access memory (RAM) 240, COM1 250, input output assembly 260, hard disk 270,
User interface 280.Internal communication bus 210 can realize the data communication of the inter-module of computing device 200.Processor 220 is used for
Execute program instructions complete to disclose any function of the image processing server 120 described in book, component, module, list herein
Member, subelement.Processor 220 is made up of one or more processors.COM1 250 can realize computing device 200 and figure
As the data communication between the miscellaneous part of processing system 100 (such as imaging system 110, image processing server 120) (is such as led to
Cross network 130).Computing device 200 can also include various forms of program storage units and data storage element, for example firmly
Disk 270, read-only storage (ROM) 230, random access memory (RAM) 240, can be used in computer disposal and/or communication makes
Various data files, and the possible programmed instruction performed by processor 220.Input output assembly 260 is supported to calculate
Equipment 200 and other assemblies (such as user interface 280), and/or the other assemblies of image processing system 100 (such as database 140) it
Between data flow input/output.Computing device 200 from network 130 can also send and receive information by COM1 250
And data.
Fig. 3 is an illustrative diagram of the processing engine 122 according to some embodiments of the present application.At image
Processing engine 122 in reason server 120 can include processing module 310, communication module 320 and memory module 330.Processing is drawn
Hold up 122 and may further include input/output module 340.The input/output module 340 can be received in imaging system 110
One or more imaging devices view data, and be sent to processing module 310 etc..The input/output module 340 can be with
View data after processing module 310 is handled by network 130 is sent to the imaging being connected with image processing server 120
System 110 and/or database 140 etc..The connection handled between each module of engine 122 can be wired connection, wireless connection
And/or the combination of wired connection and wireless connection.Each module of processing engine 122 can be local, long-range and/or local
With long-range combination.Handle the corresponding relation between each module of engine 122 can be it is one-to-one, it is one-to-many, or multi-to-multi.Example
Such as, processing engine 122 can include a processing module 310 and a communication module 320.And for example, processing engine 122 can be wrapped
Include multiple processing modules 310 and multiple memory modules 330.The multiple processing module 310 can correspond to the multiple deposit respectively
Module 330 is stored up, so as to handle the view data from corresponding memory module 330 respectively.View data can include one or
Multiple images (such as two dimensional image, 3-D view) and one or more part, video data are (such as one or more to regard
Frequently, frame of video, and the data that are associated of other and video etc.), (for example may be used available for the data of processing image and/or video
For compressing or decompressing, encrypt or decrypt, send or receive and play image and/or data of video etc.) and image
Related data etc..
Input/output module 340 can be from other modules or external module receive information in image processing system 100.
Other modules or external module that input/output module 340 can be sent information in image processing system 100.At some
In embodiment, input/output module 340 can receive the view data of the generation of imaging system 110.Described image data can be wrapped
Include computed tomography images data, X ray image data, nuclear magnetic resonance image data, ultrasonograph data, thermal imagery number
According to, core image data, light image data etc..In certain embodiments, the information that the input/output module 340 is received can
To be handled in processing module 310, and/or it is stored in memory module 330.In certain embodiments, it is described input/it is defeated
The view data handled by processing module 310 can be exported by going out module 340.In certain embodiments, input/output module
340 information for receiving and/or exporting can be digital imaging and communications in medicine form (Digital Imaging and
Communications in Medicine, DICOM) data.The data of the DICOM forms can be according to one or more
Standard is transmitted and/or stored.In certain embodiments, input/output module 340 can pass through input output assembly 260
Perform corresponding operating.
Processing module 310 can handle view data.In certain embodiments, the processing module 310 can be by defeated
Enter/output module 340 obtains view data from imaging system 110, and/or database 140.In certain embodiments, it is described
Processing module 310 directly can obtain view data from memory module 330.In certain embodiments, the processing module 310
The view data of acquisition can be handled.The processing of described image data can include image digitazation, compression of images (example
Such as, Image Coding), image enhaucament restores (for example, image enhaucament, image restoration, image reconstruction), graphical analysis is (for example, image
Segmentation, images match, image recognition) etc., or several combinations.In certain embodiments, the processing module 310 can be to doctor
View data is learned to be handled.The processing of the medical image can include volume drawing (for example, the projection of body light, light
Terminate in advance, determine 2 dimensional region/three-D volumes interested (for example, drawing 2 dimensional region/three-D volumes interested, cutting sense
Interest 2 dimensional region/three-D volumes, transmission 2 dimensional region/three-D volumes interested, merging 2 dimensional region/said three-dimensional body interested
Product)), compression of images ((including Model-Based Coding, based on neuroid coding) for example, Image Coding), graphical analysis (example
Such as, image segmentation (including region segmentation (including region growing and regional split act of union, Octree), Threshold segmentation, edge point
Cut, histogram method etc.)), image enhaucament restore (for example, filtering (including high-pass filtering, LPF, bandpass filtering etc.), Fu Li
Leaf transformation, virtual color display image reconstruction (including texture mapping), image colorant (including radiation coloring), image rendering (including
Ray trace, Photon Mapping, solid are rendered), image edge-blending (including based on greylevel window relevant matches)), fitting, insert
Value, discrete etc., or several combinations.For example, in Medical Image Processing, 2 dimensional region/three-dimensional interested is drawn on image
Volume and the characteristic information (for example, statistics feature) for analyzing 2 dimensional region/three-D volumes interested.The statistics feature can
To include but is not limited to variance, area, length, average value, maximum, minimum value, volume, frequency distribution, histogram etc., or it is several
The combination planted.In certain embodiments, processing module 310 can perform corresponding operating by processor 220.
In certain embodiments, processing module 310 can include one or more treatment elements or equipment, for example, central
Processor (central processing unit, CPU), graphics processor (graphics processing unit, GPU),
Digital signal processor (digital signal processor, DSP), System on Chip/SoC (system on a chip, SoC),
Microcontroller (microcontroller unit, MCU) etc., or several combinations.In certain embodiments, processing module 310
The treatment element for possessing specific function can be included.For example, processing module 310 can include determining that the two-dimentional area of interesting image
The treatment element of domain/three-D volumes.And for example, processing module 310 can include the treatment element of User Defined function.
Communication module 320 can realize the communication of image processing server 120 and network 130.The communication module 320
Communication mode can include wire communication and/or radio communication.The wire communication can refer to by wire, cable, optical cable, ripple
Lead, the transmission medium such as nano material is communicated, the radio communication can include the serial wireless local Netcoms of IEEE 802.11
The serial radio communication (such as bluetooth, ZigBee) of letter, IEEE 802.15, mobile communication (such as TDMA, CDMA, WCDMA,
TD-SCDMA, TD-LTE, FDD-LTE etc.), satellite communication, microwave communication, scatter communication, lasercom etc., it is or a variety of
Combination.In certain embodiments, communication module 320 can be encoded using one or more coded systems to the information of transmission
Processing.The coded system can include phase code, nonreturn to zero code, differential manchester encoding etc., or several combinations.
In some embodiments, communication module 320 can be according to the different coding of image type selection and/or transmission means.For example, when figure
During as data for DICOM forms, communication module 320 can be encoded and transmitted according to dicom standard.In some embodiments
In, communication module 320 can perform corresponding operating by COM1 250.
Memory module 330 can be with storage information.Described information can include the figure that the input/output module 340 is obtained
As data, and/or the result that handles of processing module 310 etc..Described information can include text, numeral, sound, image, video
Deng, or several combinations.In certain embodiments, the memory module 330 can include all kinds of storage devices such as solid state hard disc,
Mechanical hard disk, USB flash memory, SD storage cards, CD, random access memory (Random Access Memory, RAM) and read-only storage
Device (Read-Only Memory, ROM) etc., or several combinations.In certain embodiments, memory module 330 can be image
The local storage of processing server 120, external storage, and/or the storage (such as cloud storage) communicated to connect by network 130
Deng.In certain embodiments, memory module 330 can include a Data Management Unit (not shown).The data management list
Member can monitor and manage the data in memory module, and it is zero or relatively low data to delete utilization rate, keeps memory module 330
Enough memory capacity.In certain embodiments, memory module 330 can by ROM 230, RAM 240, and/or other deposit
Store up equipment and perform corresponding operating.
It should be noted that the description for processing engine 122 above, only for convenience of description, can not limit the application
System is within the scope of illustrated embodiment.It is appreciated that for those skilled in the art, understanding the principle of modules
Afterwards, modules may be combined in the case of without departing substantially from this principle, or constitutes subsystem and other moulds
Block is connected, and the configuration to processor carries out various modifications and variations.But these modifications and variations are still in the range of above description.
For example, processing engine 122 can include a control module.The control module can be entered with each module of control process engine 122
Reception, processing, storage, input, and/or output of row view data etc..For example, the control module can be with control input/defeated
Go out module 340 and obtain information (for example, obtaining user instruction, expert opinion etc. from user interface 280), or transmitted to network 130
Information (for example, patient information etc. is shared in a medical system).
Fig. 4 is an illustrative diagram of the processing module 310 according to some embodiments of the present application.Handle mould
Block 310 can include drawing unit 410, transfer unit 420, cut unit 430, combining unit 440, analytic unit 450.Should
It is noted that the description above for the processing module 310 that engine 122 is handled in image processing server 120 is simply exemplary
, the limitation to the application is not constituted.In certain embodiments, processing module 310 can also include other units.At some
In embodiment, some of said units unit can not be required.In certain embodiments, some lists in said units
Member can be merged into a unit collective effect.In certain embodiments, said units can be independent.The unit is independent
Each unit can be referred to and perform respective function.In certain embodiments, said units can be connected each other.The unit
Connecting each other can be that the data of each unit can be with cross-reference.
In this application, the object of image procossing can be image or one part.Described image can be two dimensional image
And/or 3-D view.In two dimensional image, most trickle resolvable elements can be pixel (pixel).In 3-D view
In, most trickle resolvable elements can be tissue points (voxel).Described image can include one or more two dimensions interested
Region (ROI) and/or three-D volumes interested (VOI).The two-dimentional ROI can refer to two dimensional image (or certain in 3-D view
One tomographic image) in user's one or more pixels interested.The three-dimensional VOI can refer to user's sense in 3-D view
One or more tissue points of interest.The three-dimensional VOI can include the ROI of one or more layers image.The two-dimentional ROI/ tri-
Dimension VOI can correspond to one or more of image tissue or their part.For example, two dimension ROI/ three-dimensionals VOI can be with
Refer to tumour, hardening or the pathological tissues in image.Processing module 310 can in image correspond to one tissue, organ or
The pixel/voxel of the part of related content (for example, colon, small intestine, lung or air therein, liquid etc.) is handled.Example
Such as, two dimension ROI/ three-dimensionals VOI, transmission two dimension ROI/ three-dimensionals VOI are drawn, two dimension ROI/ three-dimensionals VOI is cut, merges two dimension ROI/ tri-
Certain in dimension VOI, identification or segmentation figure picture is organized, some region or volume etc. is removed from image.
Drawing unit 410 can draw 2 dimensional region/three-D volumes based on view data.The drawing unit 410 can be with
The one or more specific 2 dimensional region/three-D volumes of Content_based image.In certain embodiments, the specific 2 dimensional region/
Three-D volumes can be 2 dimensional region interested (Region of Interest, ROI) and/or three-D volumes interested
(Volume of Interest, VOI).Drawing unit 410 can draw 2 dimensional region/three-D volumes of given shape.It is described
2 dimensional region/three-D volumes of given shape can include the 2 dimensional region/three-D volumes and/or irregular shape of regular shape
2 dimensional region/three-D volumes.2 dimensional region/three-D volumes of the regular shape can include rectangle, square, rhombus,
Circle, ellipse, triangle, cuboid, square, centrum, spheroid etc..2 dimensional region/said three-dimensional body of the irregular shape
Product can include 2 dimensional region/three-D volumes of arbitrary shape.In certain embodiments, drawing unit 410 can be to two-dimentional area
The inside of domain/three-D volumes and/or its border carry out any change operation.The operation can include stretching, dragging, amplification,
Diminution, erasing, overstriking, addition color etc..For example, user drawing unit 410 can be drawn in user interface 280 specific two
Tie up region/three-D volumes addition color.In certain embodiments, drawing unit 410 can be in drawing unit 410, transfer unit
420th, cut and draw two dimension ROI/ three-dimensionals VOI on the image after unit 430 and/or the processing of combining unit 440.
Transfer unit 420 can transmit 2 dimensional region/three-D volumes interested based on view data.The transfer unit
420 can transmit one or more specific 2 dimensional region/three-D volumes interested.The transmission can refer to certain by a certain image
The shape of one 2 dimensional region/three-D volumes is copied in the diverse location of same image or different images, for example, by a certain layer
The shape in one or more regions of image is copied to the diverse location of same tomographic image, by the one or more of a certain tomographic image
The shape in region is copied to the same position of another tomographic image, or by the shape of one or more volumes of some 3-D view
It is copied to same position of another 3-D view etc..In certain embodiments, the transmission can refer to the corresponding positions in image
Put pixel value/voxel value information of the 2 dimensional region/three-D volumes of generation same shape without changing image.
In certain embodiments, according to the position of the specific 2 dimensional region/three-D volumes interested, transfer unit 420
Specific 2 dimensional region/said three-dimensional body can be transmitted in the different tomographic images (i.e. data Layer) of same 3-D view (i.e. volume data)
Product.As an example, according to the two-dimensional position of specific 2 dimensional region/three-D volumes interested, transfer unit 420 can be with one
Specific 2 dimensional region/the three-D volumes interested of different pieces of information layer transmission of data.For example, for a data of an individual data items
2 dimensional region ROI1 interested in layer, transfer unit 420 can determine one or more of described 2 dimensional region interested
With reference to the positional information (for example, three-dimensional coordinate (x, y, z) etc.) of tissue points, and according to the positional information in another data
Relevant position (for example, three-dimensional coordinate (x, y, z ') of layer etc.), generate a 2 dimensional region interested.The reference tissue points can
To be any one tissue points in 2 dimensional region ROI1 interested, for example, the individual on center tissue points or ROI1 edges
Vegetarian refreshments etc..In transmittance process, relative position of the reference tissue points inside 2 dimensional region interested can keep constant.
In certain embodiments, it can be represented with the positional information of the reference tissue points in 2 dimensional region/three-D volumes interested and feel emerging
The positional information of interesting 2 dimensional region/three-D volumes.Transfer unit 420 can one or more direction of transfer transmission depth pair
One or more of volume data answered data Layer is (for example, the first data Layer z1 in z-axis direction, the second data Layer z2, y-axis side
To the first data Layer y1, the second data Layer y2, the first data Layer x1, the second data Layer x2 in x-axis direction etc.) between transmit institute
State 2 dimensional region/three-D volumes interested.The direction of transfer can be perpendicular to where 2 dimensional region interested/three-D volumes
The direction of plane or with direction of the plane where 2 dimensional region interested/three-D volumes in an arbitrary inclination, for example,
The Z axis positive direction and/or Z axis negative direction of volume data, the Y-axis positive direction of volume data and/or Y-axis negative direction, the X-axis of volume data are just
Other any directions in direction and/or X-axis negative direction or three dimensions.For example, transfer unit 420 can be by X/Y plane
2 dimensional region ROI1 interested is transferred to the first data Layer z1, to obtain in the first data Layer z1 with reference to tissue points positioned at three-dimensional seat
Mark the 2 dimensional region ROI1 ' interested of (x, y, z1).And for example, transfer unit 420 can be by the 2 dimensional region interested of X/Y plane
ROI1 is transferred to the second data Layer z2, to obtain the sense for being located at three-dimensional coordinate (x, y, z2) in the second data Layer z2 with reference to tissue points
Interest 2 dimensional region ROI1 " etc..For another example, the 2 dimensional region ROI2 interested of XZ planes (can be referred to voxel by transfer unit 420
Dot position information is (x, y, z)) the first data Layer y1 is transferred to, to obtain in the first data Layer y1 with reference to tissue points positioned at three-dimensional
Coordinate (x, y1,2 dimensional region ROI2 ' interested z).For another example, transfer unit 420 can be by the two-dimentional area interested of XZ planes
Domain ROI2 (being (x, y, z) with reference to tissue points positional information) is transferred to the second data Layer y2, is joined with obtaining in the second data Layer y2
Tissue points are examined positioned at three-dimensional coordinate (x, y2,2 dimensional region ROI2 " interested z).For another example, transfer unit 420 can put down YZ
The 2 dimensional region ROI3 interested (being (x, y, z) with reference to tissue points positional information) in face is transferred to the first data Layer x1, to obtain
It is located at the 2 dimensional region ROI3 ' interested of three-dimensional coordinate (x1, y, z) in first data Layer x1 with reference to tissue points.For another example, transmit single
The 2 dimensional region ROI3 interested (being (x, y, z) with reference to tissue points positional information) of XZ planes can be transferred to second by member 420
Data Layer x2, to obtain the 2 dimensional region interested for being located at three-dimensional coordinate (x2, y, z) in the second data Layer x2 with reference to tissue points
ROI3”.In certain embodiments, the Z axis positive direction can refer in the cephlad-caudal of the detection object in image along head
Direction;The Z axis negative direction can refer in the cephlad-caudal that object is detected in image along the direction of afterbody;The Y-axis is just
Direction can refer on the fore-and-aft direction of the detection object in image along anterior direction;The Y-axis negative direction can refer to image
In detection object fore-and-aft direction on along rear portion direction;The X-axis positive direction can refer to the detection object in image
Along the direction of right part on left and right directions;The X-axis negative direction can refer in image detection object left and right directions on along
The direction of left part.The transmission depth can be height of the volume data in Z axis, Y-axis or X-direction.One in the volume data
Individual or multiple data Layers can be obtained by the interlamellar spacing of volume data.The interlamellar spacing can be 0.1-20mm or other suitable
Spacing.The interlamellar spacing can be axially different interlamellar spacing, for example, the interlamellar spacing of X axis, the interlamellar spacing of Y-axis, Z axis to
Interlamellar spacing.The axially different interlamellar spacing can be with identical, can also be different.In certain embodiments, according to specific two dimension
The position of region/three-D volumes, transfer unit 420 can transmit specific 2 dimensional region/said three-dimensional body between different images data
Product.As an example, according to the three-dimensional position of specific 2 dimensional region/three-D volumes interested, transfer unit 420 can be in not consubstantiality
Specific 2 dimensional region/three-D volumes interested are transmitted between data.For example, the VOI1 in an individual data items, transfer unit 420
The three-dimensional position (x, y, z) with reference to tissue points in VOI1 can be determined;According to the three-dimensional position, transfer unit 420 can be
Identical three-dimensional position (x, y, z) and its neighborhood generation shape the identical VOI1 ' of another volume data.The reference tissue points can be with
It is any one tissue points in three-D volumes VOI1 interested, for example, a voxel on center tissue points or VOI1 surfaces
Point etc..In certain embodiments, interested three can be represented with the positional information of the reference tissue points in three-D volumes interested
Tie up the positional information of volume.In transmittance process, relative position of the reference tissue points inside three-D volumes interested can
To keep constant.In certain embodiments, transfer unit 420 can be received between different pieces of information layer, and/or different volume data it
Between transmit after two-dimentional ROI/ three-dimensionals VOI interested.In certain embodiments, transfer unit 420 can pass through drawing unit 410
The two-dimentional ROI/ three-dimensionals VOI interested of transmission is plotted in different pieces of information layer and/or different volume datas.Transfer unit 420 can
To transmit drawing unit 410, cut the two-dimensional image ROI/ after unit 430, transfer unit 420 and/or combining unit 440 are handled
Three-dimensional VOI.
2 dimensional region/three-D volumes interested can be cut based on view data by cutting unit 430.Cutting unit 430 can
To retain part 2 dimensional region/three-D volumes of the two-dimentional ROI/ three-dimensionals VOI interested in a certain volume data or data Layer, and/
Or cut out the one or more specific 2 dimensional region/three-D volumes gone inside the two-dimentional ROI/ three-dimensionals VOI interested.In some realities
Apply in example, clipping function can be realized by the computing of pixel set and/or set of voxels by cutting unit 430.As an example, cutting out
Cut unit 430 can cut out the two-dimentional unwanted specific 2 dimensional region/three-D volumes of ROI/ three-dimensionals VOI internal users interested with
Obtain and cut result (that is, described two-dimentional ROI/ three-dimensional VOI interested and the specific 2 dimensional region/three-D volumes to be cut gone difference
Collection).Do not needed for example, cutting unit 430 and can be deducted from the pixel/voxel set in two-dimentional ROI/ three-dimensionals VOI interested
The corresponding pixel/voxel set of specific 2 dimensional region/three-D volumes, to realize cutting.In certain embodiments, unit is cut
430 can adjust 2 dimensional region/three-D volumes interested of cutting.As an example, wrong cutting can be reduced by cutting unit 430
2 dimensional region/three-D volumes.Can be by merging 2 dimensional region/three-D volumes that mistake is cut for example, cutting unit 430
Pixel/voxel set reduction two dimension ROI/ three-dimensionals VOI.Cut unit 430 can based on drawing unit 410, transfer unit 420,
The view data after unit 430 and/or the processing of combining unit 440 is cut to be cut.
Combining unit 440 can merge 2 dimensional region/three-D volumes interested based on view data.Combining unit 440 can
To merge two or more specific 2 dimensional region/three-D volumes (for example, two dimension ROI/ three-dimensionals VOI).In certain embodiments, close
And unit 440 can realize the merging of specific 2 dimensional region/three-D volumes by merging pixel/voxel set.In some implementations
In example, the result of merging can be two or more pixel/voxel union of sets collection to be combined.In certain embodiments, close
And unit 440 can merge at least two specific 2 dimensional region/three-D volumes.In certain embodiments, combining unit 440 can be with
Merge at least two designated volumes.In certain embodiments, combining unit 440 can merge one or more specific two-dimentional areas
Domain/three-D volumes, and one or more designated volumes.As an example, combining unit 440 can merge at least two specific two
Tie up region/three-D volumes.For example, combining unit 440 can merge two difference ROI in same data Layer (for example, first
The 2 dimensional region ROI2 interested of 2 dimensional region ROI1 and second interested) data.In certain embodiments, combining unit 440
Can merge the data of at least two 2 dimensional regions/three-D volumes of the connection in same data Layer or non-interconnected and be used for into
The analysis of one step.Combining unit 440 can be single based on drawing unit 410, transfer unit 420, combining unit 440 and/or cutting
Two-dimentional ROI/ three-dimensionals VOI after the processing of member 430 is merged.
Analytic unit 450 can the information based on analysis of image data 2 dimensional region/three-D volumes interested.Analytic unit
450 can analyze specific 2 dimensional region/three-D volumes interested (for example, two dimension ROI/ three-dimensionals VOI) information.In some implementations
In example, analytic unit 450 can be with analysis of two-dimensional ROI/ three-dimensionals VOI characteristic information (for example, statistics characteristic information).The system
Meter, which learns feature, can include variance, area, length, average value, maximum, minimum value, volume etc., or several combinations.One
In a little embodiments, the characteristic information can include grey value characteristics information, for example, intensity profile, average gray etc..Analysis
Unit 450 can be by input/output module 340 in the display analysis result of user interface 280.Analytic unit 450 can be analyzed
Image, two dimension ROI/ after drawing unit 410, transfer unit 420, cutting unit 430, and/or the processing of combining unit 440 is three-dimensional
VOI etc..In certain embodiments, analytic unit 450 can analyze whether specific 2 dimensional region/three-D volumes need further place
Reason.For example, analytic unit 450 can determine whether to continue to draw, cut, transmit, and/or merge two by user interface 280
Tie up ROI/ three-dimensionals VOI.
It should be noted that the description above to processing module 310 in image processing server 120 is simply exemplary,
The application can not be limited within cited scope of embodiments.It is appreciated that for those skilled in the art,
It is single to modules, unit or son in the case of function may be stated in realization after the function performed by processing module is understood
Member is combined, and the configuration to processing module 310 carries out various modifications and variations.But these modifications and variations are still in the above
In the range of description.In certain embodiments, processing module 310 can also include an independent elementary area to realize to figure
As the processing of data.The independent elementary area can be independent relative to drawing unit 410.And for example, elementary area can
To realize drawing unit 410, transfer unit 420, the function of cutting unit 430, combining unit 440 and/or analytic unit 450.
In certain embodiments, some units are not required, for example, drawing unit 410.In certain embodiments, processing module 310
Other units or subelement can be included.Such deformation, within the protection domain of the application.
Fig. 5 is a kind of exemplary process diagram of the processing image according to some embodiments of the present application.Flow 500 can
To be realized by handling engine 122.501, view data can be obtained.In certain embodiments, 501 can by input/
Output module 340 is realized.In certain embodiments, described image data can be scanned by imaging system 110 target object or its
A part is obtained.In certain embodiments, described image data can from internal storage device (for example, database 140 and/or
Memory module 330 etc.) middle acquisition.In certain embodiments, described image data can be from External memory equipment (for example, network
Storage device, cloud disk, mobile hard disk etc., or several combinations) middle acquisition.Described image data can include image array, figure
As information, image vector, bitmap, cardon, Image Coding, pel, figure section etc., or several combinations.
In certain embodiments, described image data can be medical image.In certain embodiments, the medical science
View data can be obtained by one or more scanners.The scanner can include magnetic resonance imaging (MRI), computer
Tomoscan (CT), positron computer layer imaging (PET), single photon emission computed tomography (SPECT), computer
Tomoscan Colonography (CTC) etc., or several combinations.In certain embodiments, described image data can be to organ,
Body, object, dysfunction, tumour etc., or plurality of target are scanned obtained data.In certain embodiments, the figure
As data can be scanned obtained data to head, thoracic cavity, organ, bone, blood vessel, colon etc., or plurality of target.
In some embodiments, described image data can be 2-D data and/or three-dimensional data.In certain embodiments, described image
Data can be made up of the voxel of multiple two-dimentional pixels or three-dimensional.In view data a numerical value can correspond to the pixel or
One or more attributes of person's voxel, such as gray scale, brightness, color, to X-ray or gamma-ray trap, Density of hydrogen atoms, life
The metabolism of thing molecule, acceptor and neurotransmitter activity etc..
502, at least one area-of-interest (two-dimentional area interested can be determined based on the view data obtained in 501
Domain/three-D volumes).In certain embodiments, 502 can pass through drawing unit 410, the transfer unit in processing module 310
420th, any combination of unit 430, combining unit 440 or one or more said units is cut to realize.It is described to determine that sense is emerging
Interesting 2 dimensional region/three-D volumes can include drawing 2 dimensional region/three-D volumes interested, transmit 2 dimensional region/tri- interested
Volume is tieed up, 2 dimensional region/three-D volumes interested are cut, and/or merges 2 dimensional region/three-D volumes interested etc..At some
In embodiment, the area-of-interest can include 2 dimensional region ROI interested and/or three-D volumes interested.The two dimension
ROI can be different size, and/or specific region of different shapes.As an example, the area-of-interest can be passed through
The region that the mode such as circle, ellipse, square frame, irregular polygon is sketched the contours of.The area-of-interest can be sketched the contours of by rectangle
Specific region.For example, the specific region can be the region for needing further to handle.It is described drafting area-of-interest can be
A specific region is sketched the contours in an individual data items.In certain embodiments, processing module 310 can determine one or more three
Tie up VOI.The transmission area-of-interest can be that the area-of-interest of a data Layer is passed to its in same volume data
His data Layer.The transmission area-of-interest can be that the area-of-interest in an individual data items is passed into other volume datas.
The cutting area-of-interest can be one specific region of removal in an area-of-interest.The merging area-of-interest
Can merge two or more area-of-interests.In certain embodiments, the merging of described two area-of-interests can be with
It is the view data for merging described two area-of-interests.As an example, the merging area-of-interest can merge described
The pixel set of two area-of-interests.
503, the related picture number of at least one determined in 502 2 dimensional region interested/three-D volumes can be analyzed
According to.In certain embodiments, 503 it can be realized by the analytic unit 450 in the processing module 310.In some embodiments
In, the analysis 2 dimensional region interested/related view data of three-D volumes can include analyzing 2 dimensional region/tri- interested
Tie up the characteristic information of volume.As an example, the characteristic information can be statistics feature.For example, the statistics feature can
With including variance, area, length, average value, maximum, minimum value, volume etc., or several combinations.In certain embodiments,
Whether the analysis 2 dimensional region interested/related view data of three-D volumes can include judging a kind of organization chart picture in sense
In interest 2 dimensional region/three-D volumes.Described image data can correspond to a tissue, organ and/or related content (example
Such as, colon, small intestine, lung or air therein, liquid etc.).As an example, when the related view data of judgement is interested two
When tieing up in region/three-D volumes, it can determine whether whether the view data of correlation meets specified conditions.The specified conditions
The area of certain threshold value, and/or necessarily volume of threshold value etc. can be included.For example, the related view data meets specific
During condition, described image data further can be analyzed and/or handled.
504, the result analyzed in 503 can be shown.In certain embodiments, 504 can pass through input/output module
340 realize.As an example, the analysis result can be existed by input/output module 340 and/or input output assembly 260
Shown in user interface 280.In certain embodiments, the display analysis result can be that output is obtained by 503 analyses
The related view data of the 2 dimensional region interested/three-D volumes.As an example, the output of described image data can include
View data after analysis is sent to other modules of image processing system 100.For example, the input/output module 340 can
So that the view data after analysis to be directly transmitted and/or imaging system 110, and/or data is sent to by network 130 504
Storehouse 140.In certain embodiments, the output of described image data can include taking by imaging system 110 and/or image procossing
A display module in business device 120 shows the view data after the analysis.In certain embodiments, 504 can will be described
Analysis result is sent to module or equipment outside system.It can be wireless that the input/output module 340, which sends view data,
, it is wired, or both combination.For example, the analysis result can be by handling engine in image processing server 120
122 communication module 320 sends module or equipment to outside system.In certain embodiments, 504 further can divide described
Analysis result is stored into memory module 330 and/or database 140.In certain embodiments, 504 it can show what is obtained in 501
2 dimensional region/the three-D volumes interested determined in view data, 502, or other are related to the intermediateness of processing procedure
Information.
It should be noted that the description above to flow 500 is simply exemplary, the application can not be limited in listed
Within the scope of embodiments of act.It is appreciated that for those skilled in the art, understanding the behaviour performed by flow 500
After work, in the case of function may be stated in realization, each operation is combined, the operation to flow carries out various repair
Just and change.But these modifications and variations are still in the range of above description.In certain embodiments, flow 500 can not be held
Row part operation.As an example, operation 503 and/or operation 504 can not be performed.In certain embodiments, flow 500 can be with
Comprising other operations, for example, handling the related view data of 2 dimensional region interested/three-D volumes.Such deformation,
Within the protection domain of the application.
Fig. 6 is determination area-of-interest (2 dimensional region/said three-dimensional body interested according to some embodiments of the present application
Product) a kind of exemplary process diagram.Flow 600 can be realized by the processing module 310 in image processing server 120.
601, one or more area-of-interests (2 dimensional region/three-D volumes interested) can be drawn.In some realities
Apply in example, 601 can be realized by the drawing unit 410 in processing module 310.In certain embodiments, 601 it can be based on
The view data obtained in 501 draws one or more 2 dimensional region/three-D volumes interested.Described image data can include
Medical image.The medical image can include MRI (MRI image), computed tomography images (CT images),
Positron computer layer visualising image (PET image), single photon emission computed tomography image (SPECT images), meter
Calculation machine tomoscan colon image (CTC images) etc..As an example, the form of digital imaging and communications in medicine 3.0 can be being met
A sense is drawn in the view data of (Digital Imaging and Communication in Medicine, DICOM) emerging
Interesting 2 dimensional region/three-D volumes.
In certain embodiments, the drafting of 2 dimensional region/three-D volumes interested can be using automatically, manually in 601
And/or the two combine mode.The automatic drafting can refer to system and sketch the contours of spy automatically in the ad-hoc location of view data
Fixed shape 2 dimensional region/three-D volumes.As an example, the ad-hoc location can be determined by system, and/or by user
Selection.The specific shape 2 dimensional region/three-D volumes can determine by system, and/or selected by user.Example
Such as, user (for example, doctor, expert etc.) can rule of thumb select an ad-hoc location of view data, and/or need to draw
A given shape/volume.In certain embodiments, drawing unit 410 can be emerging according to one or more senses drawn
Draw the interested of respective shapes in the position of interesting 2 dimensional region/three-D volumes and/or shape, the relevant position in view data
2 dimensional region/three-D volumes.In certain embodiments, the automatic drafting can refer to drawing unit 410 using one or more
Algorithm is split to view data, to extract 2 dimensional region/three-D volumes interested.The algorithm can be including image point
Cut algorithm, for example, gray level threshold segmentation method, region growing and split degree method, edge split plot design, histogram method, based on fuzzy
Theoretical split plot design (such as fuzzy threshold segmentation method, fuzzy connectedness split plot design, Segmentation by Fuzzy Clustering method), based on neutral net
Split plot design, based on mathematical morphology split plot design (such as Morphological watersheds algorithm) etc., or a variety of combinations.It is described to paint manually
System can be sketched the contours of 2 dimensional region/said three-dimensional body interested of specific shape manually by user in the ad-hoc location of view data
Product.The specific shape can include the shape and/or irregular shape of rule.One two-dimentional area interested of the drafting
Domain/three-D volumes can include the 2 dimensional region/three-D volumes for drawing given shape, can also include to two-dimentional area interested
The different operating that domain/three-D volumes and/or 2 dimensional region interested/three-D volumes border are carried out.As an example, the operation can
To be modified including 2 dimensional region/three-D volumes interested to drafting.The modification can include stretching, dragging, erasing,
Overstriking, addition color etc..For example, user can have been painted by adding 2 dimensional region interested/three-D volumes border color modification
2 dimensional region/three-D volumes interested of system.
In certain embodiments, one 2 dimensional region/three-D volumes interested of the drafting can be emerging in existing sense
2 dimensional region/three-D volumes interested of a given shape are drawn inside interesting 2 dimensional region/three-D volumes again.As an example,
Existing 2 dimensional region/the three-D volumes interested can be emerging by the sense drawn, cut, transmission and/or merging are obtained
Interesting 2 dimensional region/three-D volumes.For example, 601 can be based in the 2 dimensional region/three-D volumes interested cut in 602,603
The 2 dimensional region interested merged in 2 dimensional region/three-D volumes interested, and/or 604 of transmission/three-D volumes draw one
Or multiple 2 dimensional region/three-D volumes interested.And for example, 601 can be in the 2 dimensional region/three-D volumes interested drawn
A 2 dimensional region/three-D volumes interested are drawn again in portion.In certain embodiments, the 2 dimensional region interested drawn in 601/
Three-D volumes can carry out the processing such as follow-up drafting, cutting, transmission and/or merging.
602, one or more 2 dimensional region/three-D volumes interested can be cut.In certain embodiments, 602 can
To be realized by the cutting unit 430 in processing module 310.It is described cut 2 dimensional region/three-D volumes interested can be with
It is to remove a specific 2 dimensional region/three-D volumes interested inside a 2 dimensional region/three-D volumes interested.At some
Specific 2 dimensional region/the three-D volumes interested that need to be cut can be adjusted in embodiment, in 602.As an example, described adjust
It is whole to include the specific 2 dimensional region/three-D volumes interested that remove of reduction, reduce or to expand specific sense to be cut emerging
Interesting 2 dimensional region/three-D volumes, change given shape, position of specific 2 dimensional region/three-D volumes interested to be cut etc..
In certain embodiments, one 2 dimensional region/three-D volumes interested of the cutting can pass through pixel set and/or voxel collection
The computing of conjunction is realized.As an example, the cutting 2 dimensional region/three-D volumes interested can be by asking for two-dimentional area interested
To be cut specific of the pixel/voxel set of domain/three-D volumes and one inside the 2 dimensional region/three-D volumes interested
The difference set of the pixel/voxel set of 2 dimensional region/three-D volumes and obtain.
In certain embodiments, one 2 dimensional region/three-D volumes interested of the cutting can be emerging in existing sense
Cut again inside interesting 2 dimensional region/three-D volumes.As an example, the existing 2 dimensional region/three-D volumes interested
Can be 2 dimensional region/three-D volumes interested by drawing, cutting, transmission and/or merging are obtained.For example, 602 can be with base
2 dimensional region/three-D volumes interested for being transmitted in 2 dimensional region/three-D volumes interested for being drawn in 601,603, and/or
The 2 dimensional region interested merged in 604/three-D volumes cut 2 dimensional region/three-D volumes interested.And for example, 602 can be
Cut again inside the 2 dimensional region/three-D volumes interested cut.In certain embodiments, the sense after the cutting is emerging
Interesting 2 dimensional region/three-D volumes can carry out the processing such as follow-up drafting, cutting, transmission and/or merging.
603, one or more 2 dimensional region/three-D volumes interested can be transmitted.In certain embodiments, 603 can
To be realized by the transfer unit 420 in processing module 310.One 2 dimensional region/three-D volumes interested of the transmission can be with
It is the positional information and/or shape information for transmitting 2 dimensional region/three-D volumes interested.The positional information can include two dimension
Position, three-dimensional position etc..The shape information can include regular shape, irregular shape etc..In certain embodiments, it is described
It can be transmitted or in same volume data between different volume datas to transmit 2 dimensional region/three-D volumes interested
It is interior to be transmitted.As an example, transmission 2 dimensional region/three-D volumes interested can be according to 2 dimensional region interested/
The two-dimensional position of three-D volumes is transmitted between the different pieces of information layer of same volume data.And for example, the transmission interested two
It can be entered according to the three-dimensional position of 2 dimensional region/three-D volumes interested between different volume datas to tie up region/three-D volumes
Row transmission.
In certain embodiments, the transmission 2 dimensional region/three-D volumes interested can be by existing interested two
The shape information of dimension region/three-D volumes copies to view data to be passed by positional information.For example, in same volume data
Different pieces of information layer between, 2 dimensional region/three-D volumes interested after transmission can have the two dimension interested with being passed
Region/three-D volumes identical two-dimensional position and/or shape.And for example, between different volume datas, interested two after transmission
Dimension region/three-D volumes can have the 2 dimensional region interested/three-D volumes identical three-dimensional position and/or shape with being passed
Shape.In certain embodiments, voxel value/pixel value of volume data and/or data Layer can not be changed in 603.
In certain embodiments, one 2 dimensional region/three-D volumes interested of the transmission can be the existing sense of transmission
Interest 2 dimensional region/three-D volumes.As an example, the existing 2 dimensional region/three-D volumes interested can be by painting
2 dimensional region/three-D volumes interested that system, cutting, transmission and/or merging are obtained.For example, 603 can be based on 601 in draw
2 dimensional region/three-D volumes interested, merge in 2 dimensional region/three-D volumes interested, and/or 604 for cutting in 602
2 dimensional region interested/three-D volumes transmit 2 dimensional region/three-D volumes interested.In certain embodiments, after the transmission
2 dimensional region/three-D volumes interested can carry out follow-up drafting, cutting, transmission and/or merge etc. processing.
604, at least two 2 dimensional region/three-D volumes interested can be merged.In certain embodiments, 604 can be with
Realized by the combining unit 440 in processing module 310.At least two 2 dimensional region/three-D volumes interested of the merging can
Be merge at least two 2 dimensional region/three-D volumes interested data, the data include characteristic information.The feature letter
Breath can include statistics feature etc..In certain embodiments, the statistics feature can include variance, it is area, length, flat
Average, maximum, minimum value, volume etc..In certain embodiments, at least two 2 dimensional region/three-dimensionals interested of the merging
Volume can be realized by the computing of pixel set and/or set of voxels.As an example, described merge at least two interested two
Dimension region/three-D volumes can refer to ask for a 2 dimensional region/three-D volumes interested pixel set it is interested with another
The union of the pixel set of 2 dimensional region/three-D volumes.
In certain embodiments, the merging 2 dimensional region/three-D volumes interested can merge existing interested
2 dimensional region/three-D volumes.As an example, the existing 2 dimensional region/three-D volumes interested can be by drawing, cutting out
Cut, transmit and/or merge obtained 2 dimensional region/three-D volumes interested.For example, can be based on the sense drawn in 601 in 604
Interested two transmitted in 2 dimensional region/three-D volumes interested for being cut in interest 2 dimensional region/three-D volumes, 602,603
Two or more merging in dimension region/three-D volumes.And for example, can merge in 604 one cut after interested two
Tie up 2 dimensional region/three-D volumes interested after region/three-D volumes and a merging.For another example, a biography can be merged in 604
2 dimensional region/three-D volumes interested of 2 dimensional region/three-D volumes interested and a drafting after passing.In some embodiments
In, 2 dimensional region/three-D volumes interested after the merging can carry out follow-up drafting, cutting, transmission and/or merging etc.
Processing.
It should be noted that the description above to flow 600 is simply exemplary, the application can not be limited in listed
Within the scope of embodiments of act.It is appreciated that for those skilled in the art, understanding the behaviour performed by flow 600
After work, in the case of function may be stated in realization, each operation is combined, the operation to flow carries out various repair
Just and change.But these modifications and variations are still in the range of above description.In certain embodiments, flow 600 can not be held
Row part operation.As an example, flow 600 can not perform operation 602 and/or operation 603.In certain embodiments, flow
Operation order performed by 600 can be exchanged.For example, flow 600, which can first carry out operation 603, redos 602.At some
In embodiment, flow 600 can be operated with repeating part.For example, flow 600 can redo 602 after operation 604
And/or operation 603.In certain embodiments, 601 draw 2 dimensional regions interested, 602 cut 2 dimensional regions interested,
The 2 dimensional region interested of 603 transmission, and/or 604 2 dimensional regions interested merged could alternatively be three-D volumes interested.
Drafting, cuttings, transmission, merging carried out to 2 dimensional region interested/three-D volumes etc. is operated can be in reference flowchart 600
Processing.Such deformation, within the protection domain of the application.
Fig. 7 A are cutting area-of-interest (2 dimensional region/three-dimensionals interested according to some embodiments of the present application
Volume) a kind of exemplary process diagram.Flow 700 can be realized by the cutting unit 430 in processing module 310.Flow 700
Can be in flow 600 602 a kind of example implementations.In certain embodiments, it is described cut 2 dimensional region interested/
Three-D volumes can be realized by the computing of the pixel set and/or set of voxels of 2 dimensional region/three-D volumes interested.
701, first 2 dimensional region/three-D volumes interested can be obtained.In certain embodiments, 701 can pass through
The input/output module 340 of engine 122 is handled, and/or memory module 330 is realized.First two-dimentional area interested of the acquisition
Domain/three-D volumes can include 2 dimensional region/three-dimensional interested after 2 dimensional region/three-D volumes interested of drafting, transmission
2 dimensional region/three-D volumes interested after 2 dimensional region/three-D volumes interested, and/or cutting after volume, merging etc..
As an example, first 2 dimensional region/three-D volumes interested of the acquisition can be by the drawing unit in processing module 310
410 draw what is obtained.In certain embodiments, described first 2 dimensional region/three-D volumes interested can be a connected domain
Or non-interconnected domain.As shown in Figure 7 B, Fig. 7 B are the area-of-interest (two dimensions interested according to some embodiments of the present application
Region/three-D volumes) an illustrative diagram.In figure 7b, 2 dimensional region/three-D volumes 720 interested can be one
Individual connection in irregular shape or 2 dimensional region/three-D volumes of non-interconnected.In certain embodiments, user interface 280 can be with
2 dimensional region/three-D volumes 720 interested and/or its characteristic information are shown, for example, statistics feature.
702, second 2 dimensional region/three-D volumes interested can be drawn.In certain embodiments, 702 can pass through
Drawing unit 410 in processing module 310 is realized.In certain embodiments, can be in first 2 dimensional region/said three-dimensional body interested
Product is internal to draw second 2 dimensional region/three-D volumes interested.In certain embodiments, can be in the first two-dimentional area interested
Domain/three-D volumes are inside and outside to draw second 2 dimensional region/three-D volumes interested.In certain embodiments, described second
2 dimensional region/three-D volumes interested can be part 2 dimensional region inside first 2 dimensional region/three-D volumes interested/
Three-D volumes.Second 2 dimensional region/the three-D volumes interested can be inside first 2 dimensional region/three-D volumes interested
Part 2 dimensional region/three-D volumes that user need not analyze.In certain embodiments, the described second 2 dimensional region interested/
The a part of of three-D volumes can be inside first 2 dimensional region/three-D volumes interested, and another part can be in the first sense
Outside interest 2 dimensional region/three-D volumes, i.e. the second 2 dimensional region/three-D volumes interested and the first two dimension interested
Region/three-D volumes can have one or more occur simultaneously.As an example, the second 2 dimensional region/three-D volumes interested
It can be the empty structure of organization internal.The empty structure can be the necrotic zone inside cyclic tumor, brain internal annular
The necrotic zone of ischemic focus, and/or tracheae hollow structure etc..In certain embodiments, can further be changed in 702
The shape and/or size of two 2 dimensional region/three-D volumes interested, can also be by adjusting the second 2 dimensional region/tri- interested
The border of dimension volume is amplified and/or reduced etc. and operates.As an example, the adjustment border can be dragging border, or set
Put the size on border etc..
703, second 2 dimensional region/said three-dimensional body interested can be cut from the first 2 dimensional region interested/three-D volumes
Product, to obtain the 3rd 2 dimensional region/three-D volumes interested.In certain embodiments, 703 can be by processing module 310
Cutting unit 430 realize.Second 2 dimensional region/three-D volumes interested of the cutting can be in the first two-dimentional area interested
Second 2 dimensional region/three-D volumes interested are removed inside domain/three-D volumes.3rd 2 dimensional region interested of the acquisition/
Three-D volumes can be that the first 2 dimensional region interested/three-D volumes are removed after second 2 dimensional region/three-D volumes interested
2 dimensional region/three-D volumes.In certain embodiments, second 2 dimensional region/three-D volumes interested can be emerging positioned at the first sense
Inside interesting 2 dimensional region/three-D volumes, then, first 2 dimensional region/three-D volumes interested and the second sense can be asked in 703
The difference set of interest 2 dimensional region/three-D volumes, to obtain the 3rd 2 dimensional region/three-D volumes interested.In certain embodiments,
Second 2 dimensional region/three-D volumes interested and first 2 dimensional region/three-D volumes interested can have one or more hand over
Collection, then, the difference set of first 2 dimensional region/three-D volumes interested and the common factor can be asked in 703, to obtain the 3rd sense
Interest 2 dimensional region/three-D volumes.As an example, the 3rd 2 dimensional region/three-D volumes interested of the acquisition can be ring
The institutional framework of shape.The cyclic structure can be the cyclic tumor for not including internal slough, and/or not comprising intracerebral portion
The ring-type ischemic focus of necrosis.As seen in figure 7 c, Fig. 7 C are that sense after the cutting according to some embodiments of the present application is emerging
One illustrative diagram of interesting region (2 dimensional region/three-D volumes interested).In fig. 7 c, 2 dimensional region/tri- interested
Dimension volume 730 can be connected domain or the non-interconnected domain after a cutting.Second 2 dimensional region/tri- interested to be cut
It can be 2 dimensional region/three-D volumes 731 interested, 2 dimensional region/three-D volumes 732 interested, two dimension interested to tie up volume
One or more of grade of region/three-D volumes 733.As an example, the first 2 dimensional region/three-D volumes interested can be with
It is 2 dimensional region/three-D volumes 730 interested, the second 2 dimensional region/three-D volumes interested can be two dimension interested
Region/three-D volumes 731, the 3rd 2 dimensional region/three-D volumes interested can be 2 dimensional region/three-D volumes interested
730 remove the 2 dimensional region/three-D volumes obtained after 2 dimensional region/three-D volumes 731 interested.
In certain embodiments, user needs to recover 2 dimensional region/three-D volumes interested before cutting, and/or second
When 2 dimensional region/three-D volumes interested are cut by mistake, 703 can reduce second cut 2 dimensional region/tri- interested
Tie up volume.As an example, 703 trimming operation can be cancelled, 2 dimensional region/said three-dimensional body interested after cutting can also be merged
Product and cropped 2 dimensional region/three-D volumes interested are to obtain 2 dimensional region/three-D volumes interested before cutting.Example
Such as, can by merge the 3rd 2 dimensional region/three-D volumes interested pixel set and second 2 dimensional region/three-dimensional interested
The pixel set of volume is to obtain the pixel set of first 2 dimensional region/three-D volumes interested.
704, it can be determined that whether continue to cut.In certain embodiments, 704 can be by processing module 310
Analytic unit 450 is realized.It is described to judge whether that continuing cutting be carried out according to one or more standards.In some embodiments
In, the standard can be stored in storage device (for example, memory module 330, database 140 etc.) so as to analytic unit 450
Relevant information is called to carry out automatic decision.In certain embodiments, the standard can the experience based on user, so that user exists
Artificial judgment is carried out when checking the 3rd 2 dimensional region/three-D volumes interested.The standard can include the first two dimension interested
With the presence or absence of 2 dimensional region/three-D volumes that other need not be analyzed inside region/three-D volumes.As an example, described judge
Can be that other downright bad regions whether there is based on organization internal.
If being judged as NO, flow 700 can terminate to cut.705, the 3rd 2 dimensional region/three-dimensional interested can be analyzed
The characteristic information of volume.In certain embodiments, 705 it can be realized by the analytic unit 450 in processing module 310.One
In a little embodiments, operation 704 can not be performed, 705 are directly performed after 703.The characteristic information can include statistics
Characteristic information.As seen in figure 7 c, if not continuing to cut, the obtained 2 dimensional region/three-D volumes interested of the processing of flow 700 can be with
It is that 2 dimensional region/three-D volumes 730 interested cut 2 dimensional region/said three-dimensional body after 2 dimensional region/three-D volumes 731 interested
Product.As an example, 2 dimensional region/three-D volumes 731 interested can be the shape of rule, such as it is oval.
If being judged as YES, flow 700 can continue to cut.Flow 700 can be back to 702, in the first two dimension interested
Other 2 dimensional region/three-D volumes interested to be cut are drawn inside region/three-D volumes.As seen in figure 7 c, if continuing to cut out
Cut, 2 dimensional region/three-D volumes 730 interested can continue to cut 2 dimensional region/three-D volumes 732 interested and/or feel emerging
Interesting 2 dimensional region/three-D volumes 733.As an example, 2 dimensional region/three-D volumes 732 interested can be specific shape, example
Such as round rectangle.And for example, 2 dimensional region/three-D volumes 733 interested can be irregular shape.In certain embodiments,
User interface 280 can show the characteristic information after the cutting of 2 dimensional region/three-D volumes 730 interested, for example, the system after cutting
Count information.
It should be noted that description and Fig. 7 B, Fig. 7 C schematic diagram above to flow 700 is exemplary, and
The application can not be limited within cited scope of embodiments.It is appreciated that for those skilled in the art,
Understand after the operation performed by flow 700, in the case of function may be stated in realization, each operation be combined,
Operation to flow carries out various modifications and variations.But these modifications and variations are still in the range of above description.For example, one
In a little embodiments, flow 700 can not executable portion operation (for example, operation 704).And for example, flow 700 can be emerging from a sense
Interesting region cuts another area-of-interest, a 2 dimensional region interested is cut from a three-D volumes interested, from one
Three-D volumes interested cut another three-D volumes interested, and, cut a sense from a 2 dimensional region interested emerging
Interesting three-D volumes (specifically, the common factors of the three-D volumes interested and the 2 dimensional region interested).Such change
Shape, within the protection domain of the application.
Fig. 8 A are an exemplary flows of the transmission 2 dimensional region interested according to some embodiments of the present application
Figure.Flow 800 can be realized by the transfer unit 420 in processing module 310.Flow 800 can be 603 in flow 600
A kind of example implementations.
801, the first 2 dimensional region interested of the first data Layer can be obtained.In certain embodiments, 801 can lead to
The input/output module 340 crossed in processing engine 122 is realized.In certain embodiments, 801 it can be read from memory module 330
The related data of first 2 dimensional region interested.In certain embodiments, the need for user interface 280 can obtain user's selection
The 2 dimensional region interested of transmission.In certain embodiments, 801 first two dimension interested can be drawn by drawing unit 410
Region.As shown in Figure 8 B, Fig. 8 B are one of the 2 dimensional region interested according to some embodiments of the present application exemplary
Schematic diagram.In the fig. 8b, volume data 820 can include a data Layer 821.A sense can be included in the data Layer 821
Interest 2 dimensional region 821-1.It should be noted that 801 the first 2 dimensional regions interested obtained can be same as or be different from
701 the first 2 dimensional regions interested obtained in Fig. 7 A.In certain embodiments, the described first 2 dimensional region interested can be with
A 2 dimensional region interested, or multiple 2 dimensional regions interested set.First data Layer is convenient only for description,
It must not necessarily represent the data Layer positioned at some axial first layer of volume data.First data Layer can be flat positioned at XY
Face, XZ planes, YZ planes or the plane with above-mentioned plane formation arbitrary inclination.
802, the first transmission depth of the first direction of transfer of the first data Layer can be obtained.In certain embodiments,
802 can be realized by the input/output module 340 handled in engine 122.First direction of transfer can be perpendicular to institute
State the positive direction and/or negative direction of the first data Layer.First data Layer can be located at X/Y plane, XZ planes, YZ planes or
With the plane of above-mentioned plane formation arbitrary inclination.In certain embodiments, correspondingly, first direction of transfer can be
The positive or negative direction of Z axis, the positive or negative direction of Y-axis, the vertical axis of the plane of the positive or negative direction of X-axis or above-mentioned arbitrary inclination
Positive or negative direction.In certain embodiments, first direction of transfer can be formed with plane where first data Layer
The direction of arbitrary inclination.In certain embodiments, input/output module 340 can obtain user by user interface 280
Set a direction of transfer and/or transmit depth accordingly.For example, user can be by user interface 280 in display body number
According to being clicked in 820 window with mouse in certain side of data Layer 821 to choose a direction of transfer.And for example, Yong Huke
Depth is transmitted accordingly to set to input a numerical value by user interface 280 or drag a numerical value sliding block.Such as Fig. 8 C institutes
Show, Fig. 8 C are an exemplary signals of the 2 dimensional region interested after the transmission according to some embodiments of the present application
Figure.In Fig. 8 C, the first transmission depth can be the transmission depth H 1 of a positive direction perpendicular to data Layer 821.
803, the second transmission depth of the second direction of transfer of the first data Layer can be obtained.In certain embodiments,
803 can be realized by the input/output module 340 handled in engine 122.Second direction of transfer can be perpendicular to institute
State the positive direction and/or negative direction of the first data Layer.Second direction of transfer can be opposite with the first direction of transfer.At some
In embodiment, second direction of transfer can be the side with plane formation arbitrary inclination where first data Layer
To.As shown in Figure 8 C, the second transmission depth can be the transmission depth H 2 of a negative direction perpendicular to data Layer 821.One
In a little embodiments, input/output module 340 can be obtained by user interface 280 another direction of transfer that user sets and/or
Corresponding transmission depth.User sets the second transmission depth of the second direction of transfer can be similar with 802.In some embodiments
In, operation 802 and operation 803 can be merged into an operation, for example, input/output module 340 can pass through user interface
280 obtain two direction of transfer and/or the corresponding two transmission depth that user is set.In certain embodiments, 802 Hes are operated
Operation 803 can select an execution.For example, input/output module 340 can obtain user is set one by user interface 280
Individual direction of transfer and/or corresponding transmission depth.
804, it may be determined that one or many in the first transmission depth and the corresponding volume data of the second transmission depth
Individual data Layer.In certain embodiments, 804 it can be realized by the analytic unit 450 in processing module 310.As shown in Figure 8 C,
It can include data Layer 831, data Layer 832 in the first transmission corresponding volume data of depth H 1.And for example, the second 2 pairs of depth H of transmission
Data Layer 841, data Layer 842 and/or data Layer 843 can be included in the volume data answered.In certain embodiments, 804 can be with
One or more of the corresponding volume data of transmission depth data Layer is determined by interlamellar spacing.In certain embodiments, the layer
Spacing can be the interlamellar spacing (that is, unit interlamellar spacing) of volume data itself, may with imaging system 110 scan view data,
Or the thickness that user is set in scanning process is relevant.In certain embodiments, the interlamellar spacing can be image processing system 100
Or user-defined interlamellar spacing, for example, the interlamellar spacing that the exaggerated multiplying power of unit interlamellar spacing is obtained is (for example, 1.5 times of units
Interlamellar spacing, 2 times of unit interlamellar spacings, 3 times of unit interlamellar spacings etc.).The multiplying power can be any arithmetic number.As an example, different
The interlamellar spacing of volume data can be different.For example, the interlamellar spacing of PET (Positron Emission Tomography) image
Can be 1-10mm, and the interlamellar spacing of CT (Computed Tomography) image can be 0.1-20mm or other suitable
Spacing.In certain embodiments, axially different or direction of transfer the interlamellar spacing of same volume data can be identical, can also
It is different.For example, the interlamellar spacing of X-axis and/or Y-axis can be 1.5mm, and the interlamellar spacing of Z axis can be 5mm.In some realities
Apply in example, the data Layer can be same Intrapyramidal different pieces of information layer, or same endovascular varying cross-section data Layer.
805, it may be determined that two-dimensional position of first 2 dimensional region interested in the first data Layer.In some embodiments
In, 805 can be realized by the analytic unit 450 in processing module 310.In certain embodiments, identified two-dimensional position
Can be two-dimensional position of the reference tissue points in the first 2 dimensional region interested in the first data Layer.As an example, described two
Dimension position can be the two-dimensional coordinate information of reference tissue points plane where the first data Layer of the first 2 dimensional region interested,
For example, Descartes's rectangular coordinate system position (x, y).For example, 2 dimensional region 821-1 interested is in data Layer 821 in Fig. 8 C
Two-dimensional position.In certain embodiments, the two-dimensional position of the described first 2 dimensional region interested can be emerging including the described first sense
The two-dimensional position of all pixels in the pixel set of interesting 2 dimensional region.In certain embodiments, the described first two-dimentional area interested
The two-dimensional position in domain can include the two-dimensional position of the boundary pixel of the described first 2 dimensional region interested.
806, one can be generated in the 804 one or more data Layers determined according to 805 two-dimensional positions determined
Or multiple 4th 2 dimensional regions interested.In certain embodiments, the 4th 2 dimensional region interested can include one or
The set of multiple 2 dimensional regions interested.In certain embodiments, 806 can pass through the transfer unit 420 in processing module 310
Realize.As shown in Figure 8 C, the 4th 2 dimensional region interested can be included in the 2 dimensional region interested of the generation of data Layer 831
831-1, the 2 dimensional region 832-1 interested generated in data Layer 832, the 2 dimensional region interested generated in data Layer 841
841-1, the 2 dimensional region 842-1 interested generated in data Layer 842, and/or the two-dimentional area interested generated in data Layer 843
Domain 843-1.In certain embodiments, the 4th 2 dimensional region interested can have identical with the first 2 dimensional region interested
Size and/or shape.It should be noted that in the 4th 2 dimensional region interested, multiple 4th 2 dimensional regions interested
Each region or the 4th 2 dimensional region interested in subregion, can be by image processing system 100 or user
Individually extract, and/or analyze etc..
It should be noted that description and Fig. 8 B, Fig. 8 C schematic diagram above to flow 800 is exemplary, and
The application can not be limited within cited scope of embodiments.It is appreciated that for those skilled in the art,
Understand after the operation performed by flow 800, in the case of function may be stated in realization, each operation be combined,
Operation to flow carries out various modifications and variations.But these modifications and variations are still in the range of above description.For example, one
In a little embodiments, the 2 dimensional region interested transmitted in Fig. 8 B or Fig. 8 C can replace with border circular areas rectangular area, rhombus
Region and/or irregular area etc..And for example, the first 2 dimensional region interested in flow 800 could alternatively be three-dimensional interested
Volume, i.e. three-D volumes interested can be transmitted in the data interlayer of the different range of same individual data items.The different range
Data Layer can refer to the data Layer of the different range in three dimensions along any direction.Such deformation, in this Shen
Within protection domain please.And for example, 805 it can be performed before 802,803 or 804.
Fig. 9 A are transmission area-of-interest (2 dimensional region/three-dimensionals interested according to some embodiments of the present application
Volume) an exemplary process diagram.In certain embodiments, flow 900 can be by the transfer unit in processing module 310
420 realize.Flow 900 can be in flow 600 603 another example implementations.
901, first 2 dimensional region/three-D volumes interested of the first volume data can be obtained.In certain embodiments,
901 can be realized by the input/output module 340 handled in engine 122.In certain embodiments, 901 can from storage mould
Block 330 reads the first volume data and/or the related data of the first 2 dimensional region interested/three-D volumes.In certain embodiments,
User interface 280 can obtain first 2 dimensional region/said three-dimensional body interested that user selects and/or drawn in the first volume data
Product.As shown in Figure 9 B, Fig. 9 B are an examples of the transmission 2 dimensional region interested according to some embodiments of the present application
Property schematic diagram.In figures 9 b and 9, volume data 920 can include a data Layer 921.First can be included in the data Layer 921
2 dimensional region 921-1 interested.In certain embodiments, the volume data can include but is not limited to gate data, dynamic number
According to, function image, structural images, original image, and/or Algorithm Analysis result data etc..It should be noted that 901 acquisitions
The first two dimension interested that first 2 dimensional region/three-D volumes interested can be same as or be obtained different from 701 in Fig. 7 A
Region/three-D volumes, and/or the first 2 dimensional regions interested of 801 acquisitions in Fig. 8 A.In certain embodiments, described
One 2 dimensional region/three-D volumes interested can be a 2 dimensional region/three-D volumes interested, or multiple two-dimentional areas interested
The set of domain/three-D volumes.The multiple 2 dimensional region/three-D volumes interested can be same data Layer or it is multiple not
With 2 dimensional region/three-D volumes interested in data Layer.In certain embodiments, first volume data is only for description side
Just, the volume data that must not necessarily represent the volume data to obtain for the first time.
In certain embodiments, a three-D volumes interested can intersect with multiple data Layers, so that the multiple
The profile of a 2 dimensional region interested can be formed in each data Layer in data Layer.As shown in Figure 9 C, Fig. 9 C are roots
According to an illustrative diagram of the transmission three-D volumes interested shown in some embodiments of the present application.In Fig. 9 C, body number
Multiple data Layers can be included according to 960, for example, data Layer 961, data Layer 962, and/or data Layer 963 etc..Volume data 960 can
With including a three-D volumes 960-1 interested.The three-D volumes 960-1 interested and data Layer 961, data Layer 962, and
Data Layer 963 intersects, and forms 2 dimensional region 961-1 interested profile in data Layer 961, is formed in data Layer 962
2 dimensional region 962-1 interested profile, forms 2 dimensional region 963-1 interested profile in data Layer 963.The sense is emerging
Interesting 2 dimensional region 961-1,2 dimensional region 962-1 interested, 2 dimensional region 963-1 interested can have identical or different shape
Shape and/or size.The three-D volumes 960-1 interested can have various 3D shapes, for example, square, cuboid, ball
Body, ellipsoid, cylinder, three-dimensional geometry body of cone, and/or arbitrary shape etc..
902, one or more second volume datas can be obtained.In certain embodiments, 902 can be by handling engine
Input/output module 340 in 122 is realized.In certain embodiments, 902 the second volume data can be read from memory module 330
Related data.In certain embodiments, second volume data can be used for the comparative analysis with the first volume data.For example,
Gate the comparative analysis of data (the first volume data) and dynamic data (the second volume data) different time points.And for example, function image
The comparative analysis of (the first volume data) and structural images (the second volume data).For another example, original image (the first volume data) and algorithm
Comparative analysis of analysis result data (the second volume data) etc..As shown in Figure 9 B, the second volume data can include volume data 930,
Volume data 940, and/or volume data 950 etc..As shown in Figure 9 C, the second volume data can include volume data 970, volume data 980,
And/or volume data 990 etc..In certain embodiments, above-mentioned second volume data can have three-dimensional with the first volume data identical
Shape and/or size.In certain embodiments, above-mentioned second volume data can have the 3D shape different from the first volume data
And/or size.The quantity of voxel can be more than, less equal than the quantity of voxel in the first volume data in second volume data.
In some embodiments, the second volume data can have the shape more than or equal to described first 2 dimensional region/three-D volumes interested
Shape and/or size.
903, it may be determined that three-dimensional position of the first 2 dimensional region/three-D volumes interested in the first volume data.One
In a little embodiments, 903 can be realized by the analytic unit 450 in processing module 310.As an example, the three-dimensional position letter
Breath can include three-dimensional cartesian rectangular co-ordinate information (x, y, z).In certain embodiments, the described first two-dimentional area interested
The three-dimensional position of domain/three-D volumes can be including one in the set of voxels of described first 2 dimensional region/three-D volumes interested
Or the three-dimensional position of multiple voxels (for example, with reference to tissue points).In certain embodiments, the described first 2 dimensional region interested/
The three-dimensional position of three-D volumes can be including one in the boundary voxel set of described first 2 dimensional region/three-D volumes interested
Or the three-dimensional position of multiple voxels.As shown in Figure 9 B, it may be determined that 2 dimensional region 921-1 interested in volume data 920 three
Tie up position.As shown in Figure 9 C, it may be determined that three-dimensional positions of the three-D volumes 960-1 interested in volume data 960.Further
Ground, if it is determined that three-dimensional positions of the three-D volumes 960-1 interested in volume data 960, it could mean that two dimension interested
Three-dimensional positions of the region 961-1 in data Layer 961 is determined, three-dimensionals of the 2 dimensional region 962-1 interested in data Layer 962
Position is determined, and, three-dimensional positions of the 2 dimensional region 963-1 interested in data Layer 963 is determined.
904, the one or more 5th interested two can be generated in second volume data according to the three-dimensional position
Tie up region/three-D volumes.In certain embodiments, the 5th 2 dimensional region/three-D volumes interested can include one or
The set of multiple 2 dimensional region/three-D volumes interested.In certain embodiments, 904 can be by the biography in processing module 310
Unit 420 is passed to realize.In certain embodiments, the described 5th 2 dimensional region/three-D volumes interested can have and the first sense
Interest 2 dimensional region/three-D volumes identical size and/or shape.As shown in Figure 9 B, existed according to 2 dimensional region 921-1 interested
Three-dimensional position in volume data 920, the 5th area-of-interest of the generation can be included in the data Layer 931 of volume data 930
The 2 dimensional region 931-1 interested of generation, the 2 dimensional region 941-1 interested generated in the data Layer 941 of volume data 940, and/
Or the 2 dimensional region 951-1 interested of the generation of data Layer 951 in volume data 950.As shown in Figure 9 C, according to said three-dimensional body interested
Three-dimensional positions of the product 960-1 in volume data 960, the 5th three-D volumes interested of the generation can be included in volume data
The three-D volumes 970-1 interested of 970 generations, the three-D volumes 980-1 interested generated in volume data 980, and/or in body number
According to the three-D volumes 990-1 interested of 990 generations.The three-D volumes 970-1 interested can include the number in volume data 970
According to the 2 dimensional region 971-1 interested in layer 971, the 2 dimensional region 972-1 interested in data Layer 972, and/or data Layer
2 dimensional region 973-1 interested in 973 etc..The three-D volumes 980-1 interested can include the data in volume data 980
2 dimensional region 982-1 interested in 2 dimensional region 981-1 interested in layer 981, data Layer 982, and/or data Layer 983
In 2 dimensional region 983-1 interested etc..The three-D volumes 990-1 interested can include the data Layer in volume data 990
2 dimensional region 992-1 interested in 2 dimensional region 991-1 interested in 991, data Layer 992, and/or in data Layer 993
2 dimensional region 993-1 interested etc..It should be noted that the 5th 2 dimensional region/three-D volumes interested, multiple five
Each 2 dimensional region/three-D volumes in 2 dimensional region/three-D volumes interested or the 5th 2 dimensional region interested/
Part 2 dimensional region/three-D volumes in three-D volumes, individually can be extracted, and/or be divided by image processing system 100 or user
Analysis etc..
It should be noted that description and Fig. 9 B, Fig. 9 C schematic diagram above to flow 900 is exemplary, and
The application can not be limited within cited scope of embodiments.It is appreciated that for those skilled in the art,
Understand after the operation performed by flow 900, in the case of function may be stated in realization, each operation be combined,
Operation to flow carries out various modifications and variations.But these modifications and variations are still in the range of above description.For example, one
In a little embodiments, the 2 dimensional region interested transmitted in Fig. 9 B can replace with border circular areas rectangular area, diamond-shaped area and/
Or irregular area etc..And for example, in certain embodiments, the three-D volumes interested transmitted in Fig. 9 C can replace circular volume
It is changed to volume of ellipsoid, square, cuboid, cylinder, cone, and/or arbitrary shape etc..Such deformation,
Within the protection domain of the application.
Figure 10 A are one of merging 2 dimensional region/three-D volumes interested according to some embodiments of the present application
Exemplary process diagram.In certain embodiments, flow 1000 can be realized by the combining unit 440 in processing module 310.Stream
Journey 1000 can be an example implementations of operation 604 in flow 600.
1001, first 2 dimensional region/three-D volumes interested can be obtained.In certain embodiments, 1001 can lead to
The input/output module 340 for crossing processing engine 122 is realized.In certain embodiments, 1001 it can be read from memory module 330
The related data of first 2 dimensional region interested/three-D volumes.In certain embodiments, user interface 280 can obtain user
First 2 dimensional region/the three-D volumes interested determined.As an example, the first 2 dimensional region/three-D volumes interested can
To be a connected domain.In certain embodiments, described first 2 dimensional region/three-D volumes interested can be a non-interconnected
Domain.As shown in Figure 10 B, Figure 10 B are one of 2 dimensional region/three-D volumes interested according to some embodiments of the present application
Individual illustrative diagram.In fig. 1 ob, 1001 2 dimensional region/three-D volumes 1021 interested can be obtained.Described interested two
Characteristic information, such as statistical information A can be included by tieing up region/three-D volumes 1021.
1002, second 2 dimensional region/three-D volumes interested can be obtained.In certain embodiments, 1002 can lead to
The input/output module 340 for crossing processing engine 122 is realized.In certain embodiments, 1002 it can be read from memory module 330
The related data of second 2 dimensional region interested/three-D volumes.In certain embodiments, second 2 dimensional region/three-dimensional interested
Volume and first 2 dimensional region/three-D volumes interested can be located in identical data Layer.In certain embodiments, the second sense
Interest 2 dimensional region/three-D volumes and first 2 dimensional region/three-D volumes interested can be located at the difference of same individual data items
In data Layer.In certain embodiments, second 2 dimensional region/three-D volumes interested and first 2 dimensional region/three-dimensional interested
Volume can be located in different volume datas.In certain embodiments, the second of acquisition 2 dimensional region/said three-dimensional body interested
Product can be used for the combined analysis with first 2 dimensional region/three-D volumes interested.As an example, second two dimension interested
Region/three-D volumes can be related to first 2 dimensional region/three-D volumes interested.For example, the first two-dimentional area interested
Domain/three-D volumes and second 2 dimensional region/three-D volumes interested can need to merge point counted in Biomedical Image
Dissipate needs to merge the connection counted or non-interconnected region in 2 dimensional region/three-D volumes, or medical image.For example, it is described
Connect or non-interconnected region can be the tumour spread, the positional information of the tumor image can be discontinuous.Such as
Shown in Figure 10 B, 1002 can obtain 2 dimensional region/three-D volumes 1022 interested, 2 dimensional region/three-D volumes 1023 interested
And/or 2 dimensional region/three-D volumes 1024 interested etc..2 dimensional region/the three-D volumes 1022 interested can include spy
Reference ceases, such as statistical information B.2 dimensional region/the three-D volumes 1023 interested can include characteristic information, for example, count
Information C.2 dimensional region/the three-D volumes 1024 interested can include characteristic information, such as statistical information D.In some realities
Apply in example, 2 dimensional region/three-D volumes 1022 interested, 2 dimensional region/three-D volumes 1023 interested, two-dimentional area interested
Domain/three-D volumes 1024 and 2 dimensional region/three-D volumes 1021 interested can be located at same data Layer, same volume data
In different pieces of information layer or different volume datas.
1003, first 2 dimensional region/three-D volumes interested and second 2 dimensional region/said three-dimensional body interested can be merged
Product.In certain embodiments, 1001 it can be realized by the combining unit 440 in processing module 310.The sense of merging first is emerging
Interesting 2 dimensional region/three-D volumes and second 2 dimensional region/three-D volumes interested can be merge the first 2 dimensional region interested/
The data of three-D volumes and second 2 dimensional region/three-D volumes interested.As illustrated in figure 10 c, Figure 10 C are one according to the application
One illustrative diagram of 2 dimensional region/three-D volumes interested after merging shown in a little embodiments.In fig 1 oc,
1003 can merge 2 dimensional region/three-D volumes 1031 interested and 2 dimensional region/three-D volumes 1032 interested.
1004, it can be determined that whether merge other 2 dimensional region/three-D volumes interested.In certain embodiments,
1004 can be realized by the analytic unit 450 in processing module 310.1004, the analysis that the standard of judgement can be with user
Demand is relevant, i.e. whether user needs more 2 dimensional region/three-D volumes interested merging analysis.
If being judged as YES, flow 1000 can be back to 1002, to obtain other 2 dimensional region/tri- interested to be combined
Tie up volume.In certain embodiments, as illustrated in figure 10 c, other 2 dimensional region/three-D volumes interested to be combined can be with
It is 2 dimensional region/three-D volumes 1033 interested, and/or 2 dimensional region/three-D volumes 1034 interested.
If being judged as NO, flow 1000 can enter 1005, to analyze 2 dimensional region/three-D volumes interested after merging
Characteristic information.In certain embodiments, 1005 it can be realized by the analytic unit 450 in processing module 310.In some realities
Apply in example, operation 1004 can not be performed, 1005 are directly performed after 1003.In certain embodiments, 1005 it can analyze
Characteristic information after multiple connections or non-interconnected region merging technique.As an example, 1005 can analyze the tumour merging spread
Global feature information afterwards.The characteristic information can include statistics feature.In certain embodiments, as illustrated in figure 10 c, institute
The characteristic information for stating 2 dimensional region/three-D volumes interested after merging can be the statistical information 1040 merged.In some realities
Apply in example, operation 1003 and operation 1005 can be performed together, for example, merging at least two 2 dimensional region/said three-dimensional bodies interested
Characteristic information after being merged after product with Direct Analysis.
It should be noted that description and Figure 10 B, Figure 10 C schematic diagram above to flow 1000 is exemplary,
The application can not be limited within cited scope of embodiments.It is appreciated that for those skilled in the art,
After the operation performed by flow 1000 is understood, in the case of function may be stated in realization, any group is carried out to each operation
Close, the operation to flow carries out various modifications and variations.But these modifications and variations are still in the range of above description.At some
In embodiment, the operation order of flow 1000 can be exchanged.For example, flow 1000 can first carry out operation 1004, then perform behaviour
Make 1003.In certain embodiments, a 2 dimensional region interested can merge with another 2 dimensional region interested, a sense
Interest 2 dimensional region can merge with three-D volumes interested, and, three-D volumes interested can and another
Three-D volumes interested merge.Such deformation, within the protection domain of the application.
Content described herein is only section Example, the application can not be limited in cited embodiment model
Within enclosing.It is appreciated that for those skilled in the art, may be in realization after the principle of the application is understood
In the case of stating function, various modifications and variations are carried out to the application.But these modifications and variations are still in scope described above
It is interior.It should be noted that the application can one or more initial area-of-interest (two-dimentional areas interested based on volume data
Domain/three-D volumes), the operation such as cut, transmitted, and/or merged, to obtain one or more target region of interest.
In some embodiments, the operations such as further cutting, transmission, and/or merging can be carried out based on the target region of interest.
In certain embodiments, the initial area-of-interest can be 2 dimensional region/tri- interested that step 601 is drawn
Tie up volume, step 602 cut after 2 dimensional region/three-D volumes interested, step 603 transmission after 2 dimensional region interested/
The first two-dimentional area interested that 2 dimensional region/three-D volumes interested, step 701 after three-D volumes, step 604 merging are obtained
It is first interested that the 3rd 2 dimensional region/three-D volumes interested that domain/three-D volumes, step 703 are obtained, step 801 are obtained
First 2 dimensional region/three-dimensional interested that 2 dimensional region, the 4th 2 dimensional region interested of step 806 generation, step 901 are obtained
Volume, step 904 generate the 5th 2 dimensional region/three-D volumes interested, step 1003 merge after 2 dimensional region interested/
Three-D volumes etc., or any other area-of-interest.The present invention does not do any restriction to initial area-of-interest.
In certain embodiments, the initial area-of-interest can be merged by other area-of-interests, then described
Other area-of-interests are properly termed as merging source area-of-interest.If for example, the two dimension interested after step 1003 is merged
Region/three-D volumes are used as initial area-of-interest, then the first area-of-interest and/or step 1002 that step 1001 is obtained
Second 2 dimensional region/the three-D volumes interested obtained are properly termed as merging source area-of-interest.
In certain embodiments, the initial area-of-interest can be transmitted to by other area-of-interests, then described
Other area-of-interests are properly termed as transmission source area-of-interest.If for example, the 4th two dimension interested that step 806 is generated
Region is used as initial area-of-interest, then it is emerging that the first 2 dimensional region interested that step 801 is obtained is properly termed as the sense of transmission source
Interesting region.And for example, if the 5th 2 dimensional region/three-D volumes interested that step 904 is generated are as initial area-of-interest,
First 2 dimensional region/three-D volumes interested that so step 901 is obtained are properly termed as transmission source area-of-interest.
In certain embodiments, can be cropped from the initial area-of-interest or target region of interest one or
Multiple semi-cylindrical hills, cropped one or more area-of-interests are properly termed as area-of-interest to be cut.It is described
Area-of-interest to be cut can be the 2 dimensional region/three-D volumes interested cropped in step 602, cut in step 703
Second 2 dimensional region/three-D volumes interested fallen etc., or any other area-of-interest.
In certain embodiments, can be by the initial area-of-interest or target region of interest and other region of interest
Domain merges, and described other area-of-interests for being used to merge are properly termed as area-of-interest to be combined.It is described to be combined interested
Region can be the 3 interested two that 2 dimensional region/three-D volumes interested to be combined in step 604, step 703 are obtained
Tie up the 4th 2 dimensional region interested, the 5th two-dimentional area interested of step 904 generation that region/three-D volumes, step 806 are generated
2 dimensional region/three-D volumes interested after domain/three-D volumes, step 1003 merging etc., or any other area-of-interest.
Other sides operated are realized foregoing has outlined the different aspect of the method required for image procossing and/or by program
Method.Program part in technology is considered in the form of executable code and/or related data and there is " production
Product " or " product ", are participated in or realize by computer-readable medium.Tangible, permanent storage medium includes appointing
Internal memory or memory used in the module of what computer, processor or similar devices or correlation.Such as various semiconductor storages
The equipment that device, tape drive, disc driver or similar any time can provide store function for software.
All softwares or a part therein there may come a time when to be communicated by network, such as internet or other communication networks
Network.Software from a computer equipment or processor can be loaded into another by such communication.For example:From image processing system
A management server or host computer be loaded onto the hardware platform of a computer environment, or other realize the meter of system
Calculation machine environment, or the system to providing the related similar functions of information required for image procossing.Therefore, it is another to transmit
The medium of software element or the physical connection being used as between local devices, such as light wave, electric wave, electromagnetic wave, by cable,
Optical cable or air, which are realized, to be propagated.For the physical medium such as similar devices such as cable, wireless connection or optical cable, or recognized of carrier wave
For be carry software medium.Usage herein is unless limited tangible " storage " medium, and other represent computer or machine
The term of device " computer-readable recording medium " all represents the medium participated in during any instruction of computing device.
Therefore, a computer-readable media medium may have diversified forms, and including but not limited to interim readable media is situated between
Matter and non-provisional readable media medium.Non-provisional readable media medium can be stable storage medium, including:CD or magnetic
Used in disk, and other computers or similar devices, the storage system of the system component described in figure can be realized.Face
When readable media medium can be unstable storage medium, including Dram, the main memory of such as computer platform.Calculate
Machine readable media medium can include tangible transmission medium, carrier wave transmission media or physical transmission medium.Tangible transmission is situated between
Matter includes coaxial cable, copper cable and optical fiber, includes the circuit of inside computer system formation bus.Carrier wave transmission media can
To transmit electric signal, electromagnetic signal, acoustic signals or lightwave signal, these signals can be led to by radio frequency or infrared data
Produced by the method for letter.Common computer-readable medium includes hard disk, floppy disk, tape, any other magnetic medium;CD-
ROM, DVD, DVD-ROM, any other optical medium;Punched card, any other include the physical storage medium of small hole pattern;
RAM, PROM, EPROM, FLASH-EPROM, any other memory chip or tape;Transmit the carrier wave of data or instruction, cable or
Transmit attachment means, any other program code that can be read using computer and/or the data of carrier wave.These computers can
In the form for reading medium, a variety of processors that appear in are had among execute instruction, the process of the one or more results of transmission.
Although the present invention is disclosed as above with preferred embodiment, it is not for limiting the present invention, any this area
Technical staff without departing from the spirit and scope of the present invention, may be by the methods and techniques content of the disclosure above to this hair
Bright technical scheme makes possible variation and modification, therefore, every content without departing from technical solution of the present invention, according to the present invention
Any simple modifications, equivalents, and modifications made to above example of technical spirit, belong to technical solution of the present invention
Protection domain.
Claims (10)
1. a kind of image processing method, it is characterised in that:Methods described includes:
Image data set is obtained, described image data set includes the first volume data, and first volume data is counted including at least one
According to layer, at least one described data Layer includes at least one voxel;
Target region of interest is determined in first volume data, the determination target region of interest includes:
Initial area-of-interest and area-of-interest to be combined are obtained in first volume data;With
Merge the initial area-of-interest and the area-of-interest to be combined to obtain the target region of interest.
2. the method as described in claim 1, it is characterised in that:The initial area-of-interest initially feels emerging including at least one
Interesting 2 dimensional region or at least one initial three-D volumes interested, it is emerging that the target region of interest includes at least one target sense
Interesting 2 dimensional region or at least one target three-D volumes interested.
3. the method as described in claim 1, it is characterised in that:Methods described further comprises:
The initial area-of-interest is transmitted, the transmission initial area-of-interest includes obtaining the second volume data, it is determined that
Second place information, the second place information is including a voxel in the initial area-of-interest in the first body number
Three-dimensional coordinate position in, according to the second place information, the region of interest after second volume data generates transmission
Domain, draws area-of-interest to be combined in second volume data, and
Merge the area-of-interest after the transmission and the area-of-interest to be combined.
4. the method as described in claim 1, it is characterised in that:Methods described further comprises transmitting the target region of interest
Domain, the transmission target region of interest includes:
First position information is determined, the first position information is including a voxel in the target region of interest described
Three-dimensional coordinate position in first volume data;
Obtain one in the first transmission depth of the first direction of transfer, first direction of transfer and first volume data the
The first angle of plane formation where one data Layer;
Obtain described the in the second transmission depth of the second direction of transfer, second direction of transfer and first volume data
The second angle of plane formation where one data Layer;
Determine at least one second data of the first transmission depth and the volume data in the corresponding scope of the second transmission depth
Layer;With
According to the first position information, the area-of-interest after at least one described second data Layer generates transmission.
5. method as claimed in claim 4, it is characterised in that:Methods described further comprises painting in first volume data
Make area-of-interest to be combined;With
Merge the area-of-interest after the transmission and the area-of-interest to be combined.
6. the method as described in claim 1, it is characterised in that:It is interested that the initial area-of-interest of acquisition includes drafting source
Region, and cut the source area-of-interest to obtain the initial area-of-interest.
7. method as claimed in claim 6, it is characterised in that:The cutting initial area-of-interest includes:
The area-of-interest to be cut that need to be cut is drawn in first volume data;With
The common factor of the area-of-interest to be cut and the initial area-of-interest is removed from the initial area-of-interest.
8. the method as described in claim 1, it is characterised in that:The initial area-of-interest of acquisition includes:
At least two different area-of-interests to be combined are drawn in first volume data;And
Merge described at least two different area-of-interests to be combined, to generate the initial area-of-interest.
9. the method as described in claim 1, it is characterised in that:The target region of interest includes characteristic information, the side
Method further comprises the characteristic information for analyzing the target region of interest, and the characteristic information includes statistics characteristic information,
The statistics characteristic information is the information that multiple voxel statistical analyses in the target region of interest are obtained.
10. a kind of image processing system, including:
Processor;And
Memory, for store instruction, when the instruction is by the computing device, causes the system to realize such as claim
Operation in 1-9 in any one methods described.
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Address after: 201807 No. 2258 Chengbei Road, Jiading Industrial Zone, Jiading District, Shanghai. Applicant after: Shanghai Lianying Medical Technology Co., Ltd Address before: 201807 No. 2258 Chengbei Road, Jiading Industrial Zone, Jiading District, Shanghai. Applicant before: SHANGHAI UNITED IMAGING HEALTHCARE Co.,Ltd. |
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RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171020 |
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RJ01 | Rejection of invention patent application after publication |