CN110458837B - Image post-processing method and device, electronic equipment and storage medium - Google Patents
Image post-processing method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses an image post-processing method, an image post-processing device, electronic equipment and a storage medium, wherein the method comprises the following steps: when an image obtained by scanning a target object based on a medical image system is received, judging whether a history image post-processing record which is matched with the target object and belongs to the same scanning type as the image exists or not; if a historical image post-processing record which is matched with the target object and belongs to the same scanning type as the image exists, acquiring target post-processing parameters according to the historical image post-processing record; and carrying out post-processing operation on the image based on the target post-processing parameters to obtain a post-processing image. By the technical scheme of the embodiment of the invention, the aims of improving the accuracy and efficiency of image post-processing and ensuring consistency between the post-processing results of the current scanning and the past scanning of the follow-up scanning object are fulfilled.
Description
Technical Field
The embodiment of the invention relates to a medical image processing technology, in particular to an image post-processing method, an image post-processing device, electronic equipment and a storage medium.
Background
Imaging diagnosis of obstructive cardiovascular and cerebrovascular diseases (e.g. coronary heart disease, cerebral atherosclerosis, etc.) is an important clinical application area of CT (Computed Tomography ) equipment. Such subjects often require periodic follow-up reviews in order to observe disease progression, evaluate treatment efficacy, and determine whether to adjust the treatment regimen based on the evaluation.
CT angiography is a main imaging method for diagnosing cardiovascular and cerebrovascular diseases, and the examination is performed by intravenous injection of a contrast agent, and CT scanning is started when the concentration of a target angiography agent reaches a certain threshold value, so as to reconstruct a tomographic image of a target area. In order to facilitate observation of the relationship between the lesion, the blood vessel, and the affected area and to perform quantitative measurement of the lesion area, a doctor is often required to post-process the tomographic image using software. For example, the anatomy is first segmented and extracted, then three-dimensional reconstruction at different angles is performed based on the segmentation and extraction results, so that a doctor can observe the anatomy and the lesion from different angles according to the diagnosis needs, then the measurement evaluation is performed on the lesion at a proper observation angle, and the post-processing result at the target angle is saved. In order to better observe and evaluate the development and change conditions of diseases, when CT images of the same object in different periods are compared and observed, the same three-dimensional reconstruction mode and observation angle are needed to be adopted, and measurement or diagnosis errors caused by the difference of the three-dimensional reconstruction mode and the observation angle are avoided. The existing cardiovascular and cerebrovascular post-processing software can automatically complete the segmentation and extraction of main anatomical structures (such as blood vessels, cardiac muscles, atria/ventricles, bones, other soft tissues and the like) and generate a set of post-processing results according to a set of three-dimensional reconstruction modes and reconstruction angles which are clinically used.
The above-mentioned existing image post-processing method has the following problems: due to the differences of different object anatomies and diseases, on the basis of the post-processing results automatically generated by software, doctors still need to manually adjust according to the actual condition of the object images so as to better observe and measure. For the object of follow-up examination, the comparison observation is also needed with the past examination result. At this time, the doctor needs to adjust the three-dimensional reconstruction mode and reconstruction angle of the current examination with reference to the previous post-processing result, and save the post-processing result. The process is complex in operation, and poor in accuracy based on visual observation and manual adjustment, and consistency of post-treatment results of inspection in different periods is difficult to ensure.
Disclosure of Invention
The embodiment of the invention provides an image post-processing method, an image post-processing device, electronic equipment and a storage medium, which are used for improving the accuracy and efficiency of image post-processing and ensuring the consistency between the post-processing results of the current scanning and the past scanning of a follow-up scanning object.
In a first aspect, an embodiment of the present invention provides an image post-processing method, including:
when an image obtained by scanning a target object based on a medical image system is received, judging whether a history image post-processing record which is matched with the target object and belongs to the same scanning type as the image exists or not;
if a historical image post-processing record which is matched with the target object and belongs to the same scanning type as the image exists, acquiring target post-processing parameters according to the historical image post-processing record;
and carrying out post-processing operation on the image based on the target post-processing parameters to obtain a post-processing image.
In a second aspect, an embodiment of the present invention further provides an image post-processing apparatus, including:
the judging module is used for judging whether a historical image post-processing record which is matched with the target object and belongs to the same scanning type with the image exists or not when the image which is obtained by scanning the target object based on the medical imaging system is received;
the acquisition module is used for acquiring target post-processing parameters according to the historical image post-processing records if the historical image post-processing records which are matched with the target object and belong to the same scanning type with the image exist;
and the processing module is used for carrying out post-processing operation on the image based on the target post-processing parameters to obtain a post-processing image.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
one or more processing devices;
a storage means for storing one or more programs;
when the one or more programs are executed by the one or more processing devices, the one or more processing devices are caused to implement the image post-processing method according to any of the embodiments of the present invention.
In a fourth aspect, embodiments of the present invention further provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processing device, implements an image post-processing method according to any of the embodiments of the present invention.
According to the image post-processing method provided by the embodiment of the invention, when an image obtained by scanning a target object based on a medical image system is received, whether a history image post-processing record which is matched with the target object and belongs to the same scanning type as the image exists or not is judged; if a historical image post-processing record which is matched with the target object and belongs to the same scanning type as the image exists, acquiring target post-processing parameters according to the historical image post-processing record; and carrying out post-processing operation on the image based on the target post-processing parameters to obtain a post-processing image, thereby realizing the purposes of improving the accuracy and efficiency of image post-processing and ensuring consistency between the post-processing results of the current scanning and the past scanning of the follow-up scanning object.
Drawings
Fig. 1 is a schematic flow chart of an image post-processing method according to a first embodiment of the present invention;
FIG. 2 is a schematic view of a tomographic image according to a first embodiment of the present invention;
FIG. 3 is a schematic view of a post-processed image obtained by post-processing based on the tomographic image shown in FIG. 2 according to a first embodiment of the present invention;
FIG. 4 is a schematic diagram showing each of the post-processing images and corresponding post-processing parameters in a post-processing record of a history image according to a first embodiment of the present invention;
fig. 5 is a schematic flow chart of an image post-processing method according to a second embodiment of the present invention;
FIG. 6 is a flowchart of a second embodiment of the present invention for storing custom post-processing parameters;
fig. 7 is a flowchart of another image post-processing method according to the second embodiment of the present invention;
fig. 8 is a schematic structural diagram of an image post-processing device according to a third embodiment of the present invention;
fig. 9 is a schematic hardware structure of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
In the following embodiments, optional features and examples are provided in each embodiment at the same time, and the features described in the embodiments may be combined to form multiple alternatives, and each numbered embodiment should not be considered as only one technical solution.
Example 1
Fig. 1 is a schematic flow chart of an image post-processing method according to a first embodiment of the present invention. The method may be applied in the case of further processing of an image (e.g. a CT tomogram), for example comprising: the anatomical structure is segmented and extracted, and based on the segmentation and extraction results, three-dimensional reconstructions of different angles are performed to view the anatomical structure from different perspectives. The image post-processing method may be performed by an image post-processing device, which may be composed of software and/or hardware, and is usually integrated in a terminal, typically comprising a medical imaging device or a computer. Referring to fig. 1, the method specifically includes the following steps:
and 110, judging whether a history image post-processing record which is matched with the target object and belongs to the same scanning type as the image exists or not when the image which is obtained by scanning the target object based on the medical imaging system is received.
The medical imaging system may be CT (Computed Tomography ) in particular, and the image may be a tomographic image reconstructed by CT scanning in particular. The tomographic image is generally not capable of sufficiently exhibiting each tissue of the scanned region, for example, blood vessels in the scanned region cannot be sufficiently exhibited in the tomographic image. Therefore, in order to determine whether or not the blood vessel is clogged, the tomographic image needs to be subjected to post-processing, that is, further processing, to obtain a post-processed image capable of sufficiently exhibiting the blood vessel. Specifically, referring to a schematic view of a tomographic image shown in fig. 2, an image of a blood vessel can be seen from fig. 2, while referring to a schematic view of a post-processed image obtained by post-processing based on the tomographic image shown in fig. 2 shown in fig. 3, an image of a blood vessel can be seen clearly from fig. 3.
The historical image post-processing record typically includes: object information, scan type, post-processing image, and post-processing parameters employed. The object information may specifically include: at least one of an object number, a name, a sex, a face image, or fingerprint information, as long as each object can be uniquely identified. The scan type may be, for example, coronary angiography scan, lumbar scan, hip scan, inner ear scan, etc. of the heart. The post-processing parameters include: types of three-dimensional reconstruction (e.g., volume rendering VR, multi-planar reconstruction MPR, curved surface reconstruction CPR, maximum density projection MIP, or minimum density projection minMIP), anatomy, spatial coordinate range, display orientation, and the like.
When an image obtained by scanning a target object based on a medical image system is received, judging whether a historical image post-processing record which is matched with the target object and belongs to the same scanning type as the image exists or not, and specifically judging whether a historical image post-processing record which is identical to object information of the target object and the scanning type as the image exists or not. For example, the subject a performs a coronary angiography scan on the heart in 2019, 5 th month and 10 th month, and performs a coronary angiography scan on the heart in 2019, 10 th month, and then it is determined that there is a history image post-processing record which is matched with the subject a and belongs to the same scan type as the current image.
And 120, if a historical image post-processing record which is matched with the target object and belongs to the same scanning type as the image exists, acquiring target post-processing parameters according to the historical image post-processing record.
Wherein the historical image post-processing record generally comprises: object information, scan type, post-processing image, and post-processing parameters employed, the post-processing parameters referring to parameters employed when post-processing the image, such as at least one of a type of three-dimensional reconstruction (e.g., volume rendering VR, multi-planar reconstruction MPR, curved surface reconstruction CPR, maximum density projection MIP, or minimum density projection MIP), an anatomical structure, a spatial coordinate range, and a display orientation. When the object information and the scan type are determined, the target post-processing parameters may be determined according to the correspondence between the object information, the scan type, and the post-processing parameters.
Illustratively, obtaining the target post-processing parameters from the historical image post-processing record includes:
displaying each historical post-processing image and corresponding post-processing parameters in the historical image post-processing record;
and determining the selected post-processing parameters as the target post-processing parameters.
By displaying each historical post-processing image, related staff can determine the post-processing image of the expected display result according to the diagnosis and treatment plan of the staff, and further determine the post-processing parameters to be adopted for obtaining the post-processing image. A schematic display of each of the post-processing images and the corresponding post-processing parameters in the post-processing records of the history image is shown in fig. 4, wherein reference numerals 410, 420 and 430 respectively represent the display results of the post-processing images, and reference numerals 411, 421 and 431 respectively represent the post-processing parameters corresponding to the post-processing images 410, 420 and 430.
And 130, performing post-processing operation on the image based on the target post-processing parameters to obtain a post-processing image.
Further, after performing a post-processing operation on the image based on the target post-processing parameter to obtain a post-processed image, the method further includes:
and carrying out association storage on the post-processing image, the target post-processing parameter, the identification of the target object and the current scanning type to generate a new historical image post-processing record, and providing the historical image post-processing record for subsequent re-examination of the target object. Image images of the same scanning type, which are carried out on the same object in different periods, are presented in the same viewing angle in different periods by adopting the same set of post-processing parameters, so that the effect of comparing and analyzing the characteristics of the image images is greatly improved.
In order to fully explain the technical scheme of the implementation, the image post-processing method is specifically described again by the following expression mode:
1) A new examination (e.g. a visual image of object a) is loaded into the image post-processing application.
2) The image post-processing applies a past inspection of whether or not there is an object a in the automatic retrieval system that is the same type of scanning to which the new inspection belongs.
2.1 If the previous inspection of the object a, which is the same as the scanning type of the new inspection, displaying all post-processing results in the previous inspection in an imaging mode, wherein the post-processing results comprise post-processing images and corresponding post-processing parameters, selecting whether to perform post-processing operation on the image images by related staff members by adopting the post-processing parameters which are the same as the post-processing parameters in the previous inspection, and performing post-processing operation on the image images based on the post-processing parameters selected by the related staff members if the related staff members select the post-processing parameters in the previous inspection.
2.2 If no past inspection of the object a is existed, which is the same as the scanning type of the new inspection, the image post-processing application directly adopts the application default post-processing parameters to carry out post-processing operation on the image; the application default post-processing parameters specifically refer to post-processing parameters applicable to all the scanned image types to which the image belongs, the display orientations of the post-processing images obtained by processing the image through the default post-processing parameters are consistent, corresponding anatomical structures are the same, the types of adopted three-dimensional reconstruction are the same, and the spatial coordinate ranges are the same, namely, the post-processing images do not have personalized features.
3) Whether the past inspection of the object a, which is the same as the scanning type to which the new inspection belongs, is retrieved or not, the post-processing parameters stored in the system can be graphically displayed, and the post-processing parameters comprise the post-processing parameters of the user definition and the post-processing results of other objects, which are the same as the scanning type to which the new inspection belongs, so that the related staff can select the post-processing parameters.
The essence of graphically displaying the post-processing parameters is that the post-processing parameters and the post-processing images obtained by using the post-processing parameters are correspondingly displayed, and a specific display schematic diagram can be seen in fig. 4. The custom post-processing parameters refer to post-processing parameters which are summarized by relevant staff in clinical practice and are considered to have better scanning effect for a certain class. Further, the related staff can set the customized post-processing parameters as default post-processing parameters of a certain type of scanning type.
4) If the display effect of the post-processing image obtained by the automatic post-processing of the image by the related staff is unsatisfactory, the related staff can manually adjust, and the post-processing image obtained finally and the post-processing parameters adopted by the post-processing image are automatically saved by the image post-processing application so as to generate a new historical image post-processing record and provide the historical image post-processing record for the subsequent re-examination of the object a.
According to the technical scheme of the embodiment, the post-processing parameters matched with the current image to be processed are automatically read according to the stored image post-processing results, and then the current image to be processed is post-processed based on the read post-processing parameters, so that the accuracy and efficiency of image post-processing are improved, and higher consistency between the post-processing results of the current scanning and the past scanning of the follow-up scanning object is ensured.
Example two
Fig. 5 is a flowchart of an image post-processing method according to a second embodiment of the present invention. The present embodiment optimizes based on the alternatives in the foregoing embodiments, and specifically provides a specific implementation manner for the case that "there is no post-processing record of a history image that matches the target object and belongs to the same scanning type as the image". Referring specifically to fig. 5, the method comprises the steps of:
and 510, when receiving an image obtained by scanning a target object based on a medical image system, judging whether a history image post-processing record which is matched with the target object and belongs to the same scanning type as the image exists.
Step 520, if there is a history image post-processing record that matches the target object and belongs to the same scanning type as the image, acquiring a target post-processing parameter according to the history image post-processing record.
And 530, performing post-processing operation on the image based on the target post-processing parameters to obtain a post-processing image.
Step 540, if there is no post-processing record of the history image, which is matched with the target object and belongs to the same scanning type as the image, performing post-processing operation on the image by adopting a default post-processing parameter matched with the scanning type to which the image belongs, so as to obtain a post-processing image.
The default post-processing parameters comprise post-processing parameters customized for the scanning type to which the image belongs based on clinical experience. The custom post-processing parameters refer to post-processing parameters which are summarized by relevant staff in clinical practice and are considered to have better scanning effect for a certain class.
Specifically, referring to a flow chart for storing the post-processing parameters in a self-defined manner shown in fig. 6, the related staff can choose to store the post-processing parameters corresponding to some post-processing results as the post-processing parameters in a self-defined manner; as can be seen from fig. 6:
different post-processing results (e.g., post-processing result 1 610, post-processing result 2 620, post-processing result 3 630) correspond to different post-processing parameters (post-processing parameter 1 611, post-processing parameter 2 621, post-processing parameter 3 631, respectively).
The related staff can choose to save the post-processing parameters corresponding to some post-processing results as the self-defined post-processing parameters.
The associated staff member may also choose to save the plurality of custom post-processing parameters as a custom post-processing parameter set and set it as a default post-processing parameter set for a certain type of scanning.
Step 550, if the manual intervention operation instruction is detected, storing the post-processing parameters corresponding to the post-processing image obtained based on the manual intervention operation, so as to generate a historical image post-processing record of the current object.
Further, the method further comprises: and defining the post-processing parameters corresponding to the post-processing images obtained based on the manual intervention operation as default post-processing parameters for setting the scanning type according to the diagnosis requirements.
Specifically, referring to a flowchart of another image post-processing method shown in fig. 7, the method includes:
step 710, patient a CT scan 1.
Specifically, a first image of the object A, which is obtained based on CT scanning, is input to an image post-processing application.
Step 720, loading the CT image to a post-processing application.
Specifically, the first image is loaded to an image post-processing application.
Step 730, image preprocessing.
Specifically, the image post-processing application performs pre-processing on the first image by using a default post-processing parameter matched with the scanning type to which the first image belongs, so as to obtain a pre-processing result.
Step 740, manual adjustment.
And particularly, manually adjusting the pretreatment result to obtain a final post-treatment image.
Step 750, save the post-processing result and the corresponding parameters, and customize the post-processing parameters.
Specifically, the final post-processing image and the corresponding post-processing parameters are saved, a post-processing record of the historical image of the object A is generated, and meanwhile, the post-processing parameters corresponding to the final post-processing image can be set as the custom post-processing parameters of the current scanning type (namely the scanning type to which the first image belongs).
When a second image obtained by CT scanning of the object a is input into the image post-processing application after a period of time, the image post-processing application loads the second image, selects one set of post-processing operation on the second image from the historical image post-processing record of the object a or the self-defined post-processing parameters, and stores the obtained post-processing result (namely the post-processing image and the corresponding post-processing parameters).
According to the technical scheme, if the manual intervention operation instruction is detected, the post-processing parameters corresponding to the post-processing images obtained based on the manual intervention operation are stored, when the to-be-processed image images of the same object and the same scanning type are received again, the post-processing parameters matched with the current to-be-processed image are automatically read according to the stored image post-processing results, then the current to-be-processed image is post-processed based on the read post-processing parameters, the accuracy and the efficiency of the image post-processing are improved, and higher consistency between the post-processing results of the current scanning and the past scanning of the follow-up scanning object is ensured.
Example III
Fig. 8 is a schematic structural diagram of an image post-processing device according to a third embodiment of the present invention. Referring to fig. 8, the image post-processing apparatus includes: a judging module 810, an acquiring module 820 and a processing module 830.
The judging module 810 is configured to, when receiving an image obtained by scanning a target object based on a medical imaging system, judge whether a history image post-processing record that matches the target object and belongs to the same scanning type as the image exists; the obtaining module 820 is configured to obtain a target post-processing parameter according to a history image post-processing record that matches the target object and that belongs to the same scanning type as the image, if the history image post-processing record exists; and a processing module 830, configured to perform a post-processing operation on the image based on the target post-processing parameter, to obtain a post-processed image.
Further, the processing module 830 is further configured to: if no post-processing record of the historical image which is matched with the target object and belongs to the same scanning type as the image exists, carrying out post-processing operation on the image by adopting default post-processing parameters which are matched with the scanning type to which the image belongs, so as to obtain a post-processing image;
the default post-processing parameters comprise post-processing parameters customized for the scanning type to which the image belongs based on clinical experience.
Further, the device further comprises: and the storage module is used for carrying out post-processing operation on the image by adopting default post-processing parameters matched with the scanning type to which the image belongs, and after the post-processing image is obtained, if a manual intervention operation instruction is detected, storing the post-processing parameters corresponding to the post-processing image obtained based on the manual intervention operation so as to generate a historical image post-processing record of the current object.
Further, the device further comprises: and the definition module is used for defining the post-processing parameters corresponding to the post-processing images obtained based on manual intervention operation as default post-processing parameters for setting the scanning type according to the diagnosis requirements.
Further, the obtaining module 820 includes:
the display unit is used for displaying each historical post-processing image and corresponding post-processing parameters in the historical image post-processing record;
and the determining unit is used for determining the selected post-processing parameters as the target post-processing parameters.
Further, the device further comprises: and the storage module is used for carrying out post-processing operation on the image based on the target post-processing parameters, and carrying out associated storage on the post-processing image, the target post-processing parameters, the identification of the target object and the current scanning type after the post-processing image is obtained.
Further, the post-processing parameters include: at least one of three-dimensional reconstruction type, anatomy, spatial coordinate range, and display orientation; the scan type includes: at least one of a coronary angiography scan, a lumbar scan, a hip scan, and an inner ear scan.
According to the technical scheme of the embodiment, the post-processing parameters matched with the current image to be processed are automatically read according to the stored image post-processing results, and then the current image to be processed is post-processed based on the read post-processing parameters, so that the accuracy and efficiency of image post-processing are improved, and higher consistency between the post-processing results of the current scanning and the past scanning of the follow-up scanning object is ensured.
The control device can execute the image post-processing method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 9 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention. Fig. 9 shows a block diagram of an exemplary device 12 suitable for use in implementing embodiments of the present invention. The device 12 shown in fig. 9 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 9, device 12 is in the form of a general purpose computing device. Components of device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.
Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, and a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Device 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 32. Device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in FIG. 9, commonly referred to as a "hard disk drive"). Although not shown in fig. 9, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. The memory 28 may include at least one program product having a set of program modules (e.g., a determination module 810, an acquisition module 820, and a processing module 830 in an image post-processing device) configured to perform the functions of the various embodiments of the invention.
A program/utility 40 having a set of program modules 42 (e.g., a determination module 810, an acquisition module 820, and a processing module 830 in an image post-processing device) may be stored in, for example, memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of the embodiments described herein.
Device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with device 12, and/or any devices (e.g., network card, modem, etc.) that enable device 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Also, device 12 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, via network adapter 20. As shown, network adapter 20 communicates with other modules of device 12 over bus 18. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with device 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, for example, to implement the image post-processing method provided by the embodiment of the present invention.
Example five
The fifth embodiment of the present invention further provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the image post-processing method according to any of the embodiments of the present invention. The image post-processing method comprises the following steps:
when an image obtained by scanning a target object based on a medical image system is received, judging whether a history image post-processing record which is matched with the target object and belongs to the same scanning type as the image exists or not;
if a historical image post-processing record which is matched with the target object and belongs to the same scanning type as the image exists, acquiring target post-processing parameters according to the historical image post-processing record;
and carrying out post-processing operation on the image based on the target post-processing parameters to obtain a post-processing image.
The computer storage media of embodiments of the invention may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the C-programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (8)
1. A method of post-processing an image, comprising:
when an image obtained by scanning a target object based on a medical image system is received, judging whether a historical image post-processing record which is the same as the identification of the target object and belongs to the same scanning type as the image exists or not;
if a historical image post-processing record which is the same as the identification of the target pair and belongs to the same scanning type as the image exists, acquiring target post-processing parameters according to the historical image post-processing record; displaying each historical post-processing image and corresponding post-processing parameters in the historical image post-processing record; determining the selected post-processing parameters as the target post-processing parameters;
performing post-processing operation on the image based on the target post-processing parameters to obtain a post-processing image;
the post-processing parameters include: at least one of three-dimensional reconstruction type, anatomy, spatial coordinate range, and display orientation;
if the post-processing record of the historical image which is the same as the identification of the target object and belongs to the same scanning type as the image is not present, carrying out post-processing operation on the image by adopting a default post-processing parameter matched with the scanning type to which the image belongs to obtain a post-processing image;
the default post-processing parameters comprise post-processing parameters customized for the scanning type to which the image belongs based on clinical experience; the default post-processing parameters are obtained by storing a plurality of custom post-processing parameters as a custom post-processing parameter set aiming at the scanning type of the image; the post-processing parameters are obtained by storing the post-processing parameters corresponding to the selected post-processing results.
2. The method according to claim 1, wherein the performing a post-processing operation on the image using a default post-processing parameter that matches a scan type to which the image belongs, after obtaining a post-processed image, further comprises: if the manual intervention operation instruction is detected, the post-processing parameters corresponding to the post-processing image obtained based on the manual intervention operation are stored, so that a historical image post-processing record of the current object is generated.
3. The method as recited in claim 2, further comprising: and defining the post-processing parameters corresponding to the post-processing images obtained based on the manual intervention operation as default post-processing parameters for setting the scanning type according to the diagnosis requirements.
4. A method according to any one of claims 1-3, wherein post-processing the image based on the target post-processing parameters, after obtaining a post-processed image, further comprises:
and carrying out association storage on the post-processing image, the target post-processing parameter, the identification of the target object and the current scanning type.
5. A method according to any of claims 1-3, wherein the scan type comprises: at least one of a coronary angiography scan, a lumbar scan, a hip scan, and an inner ear scan.
6. An image post-processing apparatus, comprising:
the judging module is used for judging whether a historical image post-processing record which is the same as the identification of the target object and belongs to the same scanning type as the image exists or not when the image obtained by scanning the target object based on the medical imaging system is received;
the acquisition module is used for acquiring target post-processing parameters according to the historical image post-processing records if the historical image post-processing records which are the same as the identification of the target object and belong to the same scanning type as the image exist; displaying each historical post-processing image and corresponding post-processing parameters in the historical image post-processing record; determining the selected post-processing parameters as the target post-processing parameters;
the processing module is used for carrying out post-processing operation on the image based on the target post-processing parameters to obtain a post-processing image;
the post-processing parameters include: at least one of three-dimensional reconstruction type, anatomy, spatial coordinate range, and display orientation;
the processing module is further configured to: if the post-processing record of the historical image which is the same as the identification of the target object and belongs to the same scanning type as the image is not present, carrying out post-processing operation on the image by adopting a default post-processing parameter matched with the scanning type to which the image belongs to obtain a post-processing image;
the default post-processing parameters comprise post-processing parameters customized for the scanning type to which the image belongs based on clinical experience; the default post-processing parameters are obtained by storing a plurality of custom post-processing parameters as a custom post-processing parameter set aiming at the scanning type of the image; the post-processing parameters are obtained by storing the post-processing parameters corresponding to the selected post-processing results.
7. An electronic device, the device comprising:
one or more processing devices;
a storage means for storing one or more programs;
when the one or more programs are executed by the one or more processing devices, the one or more processing devices are caused to implement the image post-processing method of any of claims 1-5.
8. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processing device, implements the image post-processing method according to any one of claims 1-5.
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| CN111178297A (en) * | 2019-12-31 | 2020-05-19 | 上海联影医疗科技有限公司 | Image processing method and device, electronic equipment and medium |
| CN111612863A (en) * | 2020-04-26 | 2020-09-01 | 数坤（北京）网络科技有限公司 | CTA image processing method, device and storage medium |
| CN111599447B (en) * | 2020-05-18 | 2023-10-10 | 上海联影医疗科技股份有限公司 | Data processing method and device, electronic equipment and storage medium |
| CN112418322A (en) * | 2020-11-24 | 2021-02-26 | 苏州爱医斯坦智能科技有限公司 | Image data processing method and device, electronic equipment and storage medium |
| CN112837790B (en) * | 2021-01-27 | 2024-04-19 | 海纳医信（北京）软件科技有限责任公司 | Method and device for displaying image inspection information |
| CN114155208B (en) * | 2021-11-15 | 2022-07-08 | 中国科学院深圳先进技术研究院 | Atrial fibrillation assessment method and device based on deep learning |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001224014A (en) * | 2000-02-14 | 2001-08-17 | Nippon Telegr & Teleph Corp <Ntt> | Object detection method and device, and recording medium recorded with the method |
| CN101604334A (en) * | 2008-11-18 | 2009-12-16 | 北京美智医疗科技有限公司 | A kind of medical image database search method and searching system based on caching technology |
| CN101721227A (en) * | 2009-10-21 | 2010-06-09 | 无锡祥生科技有限公司 | Method for selecting preset value of image-guided ultrasonic diagnostic apparatus |
| CN105496454A (en) * | 2015-11-25 | 2016-04-20 | 飞依诺科技(苏州)有限公司 | Data automatic comparison method and system used for ultrasonic imaging equipment |
| CN105530435A (en) * | 2016-02-01 | 2016-04-27 | 深圳市金立通信设备有限公司 | Shooting method and mobile terminal |
| CN108574807A (en) * | 2018-04-28 | 2018-09-25 | 上海商汤智能科技有限公司 | A kind of image treatment method and relevant device |
| CN108961179A (en) * | 2018-06-19 | 2018-12-07 | 上海中和软件有限公司 | A kind of medical image after-treatment system and its application method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102522539B1 (en) * | 2015-08-17 | 2023-04-18 | 삼성전자주식회사 | Medical image displaying apparatus and medical image processing method thereof |
| DE102016207367A1 (en) * | 2016-04-29 | 2017-11-02 | Siemens Healthcare Gmbh | Specify scan parameters of a CT image capture using an external image capture |
-
2019
- 2019-08-19 CN CN201910766011.3A patent/CN110458837B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001224014A (en) * | 2000-02-14 | 2001-08-17 | Nippon Telegr & Teleph Corp <Ntt> | Object detection method and device, and recording medium recorded with the method |
| CN101604334A (en) * | 2008-11-18 | 2009-12-16 | 北京美智医疗科技有限公司 | A kind of medical image database search method and searching system based on caching technology |
| CN101721227A (en) * | 2009-10-21 | 2010-06-09 | 无锡祥生科技有限公司 | Method for selecting preset value of image-guided ultrasonic diagnostic apparatus |
| CN105496454A (en) * | 2015-11-25 | 2016-04-20 | 飞依诺科技(苏州)有限公司 | Data automatic comparison method and system used for ultrasonic imaging equipment |
| CN105530435A (en) * | 2016-02-01 | 2016-04-27 | 深圳市金立通信设备有限公司 | Shooting method and mobile terminal |
| CN108574807A (en) * | 2018-04-28 | 2018-09-25 | 上海商汤智能科技有限公司 | A kind of image treatment method and relevant device |
| CN108961179A (en) * | 2018-06-19 | 2018-12-07 | 上海中和软件有限公司 | A kind of medical image after-treatment system and its application method |
Non-Patent Citations (1)
| Title |
|---|
| 多层螺旋CT图像后处理技术的应用;马金瑞;胡熙芳;谢维敢;;包头医学(第02期);13-14 * |
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