CN109199422A - CT preview image rebuilds optimization method, device, computer equipment and storage medium - Google Patents
CT preview image rebuilds optimization method, device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN109199422A CN109199422A CN201811354663.8A CN201811354663A CN109199422A CN 109199422 A CN109199422 A CN 109199422A CN 201811354663 A CN201811354663 A CN 201811354663A CN 109199422 A CN109199422 A CN 109199422A
- Authority
- CN
- China
- Prior art keywords
- scan
- scan vision
- interval
- vision
- sweep
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000005457 optimization Methods 0.000 title claims abstract description 22
- 230000004438 eyesight Effects 0.000 claims abstract description 152
- 230000000007 visual effect Effects 0.000 claims abstract description 17
- 238000004590 computer program Methods 0.000 claims description 26
- 239000010410 layer Substances 0.000 claims description 15
- 239000011229 interlayer Substances 0.000 claims description 4
- 238000004422 calculation algorithm Methods 0.000 abstract description 11
- 230000008569 process Effects 0.000 description 7
- 238000002591 computed tomography Methods 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 4
- 238000003745 diagnosis Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- 241000208340 Araliaceae Species 0.000 description 2
- 208000014644 Brain disease Diseases 0.000 description 2
- 206010008111 Cerebral haemorrhage Diseases 0.000 description 2
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 2
- 235000003140 Panax quinquefolius Nutrition 0.000 description 2
- 208000026137 Soft tissue injury Diseases 0.000 description 2
- 208000007536 Thrombosis Diseases 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000003759 clinical diagnosis Methods 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 235000008434 ginseng Nutrition 0.000 description 2
- 210000001624 hip Anatomy 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 230000003211 malignant effect Effects 0.000 description 2
- 230000001613 neoplastic effect Effects 0.000 description 2
- 210000004197 pelvis Anatomy 0.000 description 2
- 208000018556 stomach disease Diseases 0.000 description 2
- 210000001519 tissue Anatomy 0.000 description 2
- 230000002708 enhancing effect Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/48—Diagnostic techniques
- A61B6/488—Diagnostic techniques involving pre-scan acquisition
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computed tomography [CT]
- A61B6/032—Transmission computed tomography [CT]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5294—Devices using data or image processing specially adapted for radiation diagnosis involving using additional data, e.g. patient information, image labeling, acquisition parameters
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Pathology (AREA)
- Heart & Thoracic Surgery (AREA)
- High Energy & Nuclear Physics (AREA)
- Physics & Mathematics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Optics & Photonics (AREA)
- Veterinary Medicine (AREA)
- Radiology & Medical Imaging (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Pulmonology (AREA)
- Theoretical Computer Science (AREA)
- Apparatus For Radiation Diagnosis (AREA)
Abstract
This application involves a kind of CT preview images to rebuild optimization method, device, computer equipment and storage medium.The described method includes: obtaining sweep parameter；Scan vision interval and scan vision total quantity are determined based on the sweep parameter；The bed information of all scan visions is determined based on the sweep parameter, the scan vision interval and the scan vision total quantity；Obtain scan data；Preview image reconstruction is carried out based on the scan data and the bed information, obtains and rebuilds preview image.Above-mentioned CT preview image rebuilds optimization method, device, computer equipment and storage medium, the method for carrying out image reconstruction by the bed information when scanning beginning based on all visuals field, when being scanned at the beginning, algorithm for reconstructing can start to calculate, greatly improve the reconstruction speed of piece image, shorten piece image goes out the figure time, and the figure time out of piece image is made to meet the performance requirement of CT system.
Description
Technical field
This application involves Image Reconstruction Technology field, more particularly to a kind of CT preview image rebuild optimization method, device,
Computer equipment and storage medium.
Background technique
Computer tomography (Computed Tomography, CT) equipment since the advent of the world, imaging technique undergo an unusual development
Rapidly, equipment is constantly updated, and has become one of inside of human body histoorgan solution plane most important image system of morphosis.?
Medically, for blood clot and human body soft tissue injury, stomach disease in the damage on diagnosis of vertebral and head, the swollen disease of encephalic, brain
Disease, waist and pelvis malignant change etc..Its basic process being imaged includes: that X-ray is issued by CT bulb focal position through remarkable
Body reaches detector；Detector receives the x-ray through this layer and is converted into energy intensity signal；Data Collection & Processing System pair
Energy intensity signal is acquired, and certain algorithm is combined to rebuild original image.Using CT machine, doctor can be clearly observed general
Logical X-ray is difficult to the body tissue situation shown, such as cerebral hemorrhage, various minimal neoplastics, so that clinical diagnosis level is shown
It writes and improves.
The image that CT is rebuild can be divided into diagnostic image and preview image, and diagnostic image is mainly used for doctor and carries out image
Diagnosis, the quality requirement of diagnostic image is higher, and rate request is not relatively high, and preview image be mainly used for CT scan when
It waits, whether preview scans required position, to be diagnosed in advance.Preview image to the quality requirement of image relatively not
Height, but very high to figure rate request out, substantially require to sweep to where, will be by corresponding preview graph in one second or several hundred milliseconds
As being output on interface.So the figure speed that goes out of preview image is an important indicator of current CT system reconstruction image, and scheme
Go out figure time (TTFI) and map number (IPS) out per second of the piece image of picture are wherein more crucial indexs.
Current CT image rebuilding method it is per second go out map number can satisfy system requirements substantially, but piece image
The figure time in some cases, especially in the lesser situation of screw pitch, is not able to satisfy performance requirement out, the reason is that being used for image
When the algorithm of reconstruction rebuilds certain width image, needs to obtain the bed information for influencing all scan visions of the width image, can just open
Begin to calculate, thus system is caused to scan very over long distances, image reconstruction algorithm could start reconstruction image, lead to piece image
Go out figure the time it is longer, be unable to satisfy the performance requirement of CT system.
Summary of the invention
Based on this, it is necessary to be scanned very over long distances for current CT system, image reconstruction algorithm could start to rebuild
The technical issues of image causes the figure time out of piece image longer, is unable to satisfy the performance requirement of CT system, provide one kind
CT preview image rebuilds optimization method, device, computer equipment and storage medium.
A kind of CT preview image reconstruction optimization method, which comprises
Obtain sweep parameter；
Scan vision interval and scan vision total quantity are determined based on the sweep parameter；
All described sweep is determined based on the sweep parameter, the scan vision interval and the scan vision total quantity
Retouch the bed information in the visual field；
Obtain scan data；
Preview image reconstruction is carried out based on the scan data and the bed information, obtains and rebuilds preview image.
In one of the embodiments, further include:
Sweep length is determined based on the sweep parameter.
The sweep parameter includes: in one of the embodiments,
Screw pitch, every circle scan vision quantity, scanning direction, scan image quantity, sweep length, image layer interval and image
Thickness degree.
In one of the embodiments, further include:
It is determined based on the sweep length, the scan image quantity, described image interlayer every with described image thickness degree
The sweep length.
In one of the embodiments,
It is described scan vision interval to be determined based on the sweep parameter and scan vision total quantity includes:
The scan vision interval is determined based on the screw pitch, the sweep length and every circle scan vision quantity.
In one of the embodiments,
It is described scan vision interval to be determined based on the sweep parameter and scan vision total quantity includes:
The scan vision total quantity is determined based on the sweep length and the scan vision interval.
In one of the embodiments,
It is described to be based on sweep parameter, scan vision interval and scan vision total quantity, determine all scan visions
Bed information include:
Based on the initial scan vision bed information, the scanning direction, the scan vision total quantity and described sweep
Visual field interval is retouched, determines the bed information of all scan visions.
A kind of CT preview image reconstruction optimization device, described device include:
Sweep parameter obtains module, for obtaining sweep parameter；
First determining module, for determining scan vision interval and scan vision total quantity based on the sweep parameter；
Second determining module, it is all for being determined based on sweep parameter, scan vision interval and scan vision total quantity
The bed information of the scan vision；
Scan data obtains module, for obtaining scan data；
Image reconstruction module is obtained for carrying out preview image reconstruction based on the scan data and the bed information
Preview image must be rebuild.
A kind of computer equipment, including memory and processor, the memory are stored with computer program, the processing
Device performs the steps of when executing the computer program
Obtain sweep parameter；
Scan vision interval and scan vision total quantity are determined based on the sweep parameter；
All described sweep is determined based on the sweep parameter, the scan vision interval and the scan vision total quantity
Retouch the bed information in the visual field；
Obtain scan data；
Preview image reconstruction is carried out based on the scan data and the bed information, obtains and rebuilds preview image.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
It is performed the steps of when row
Obtain sweep parameter；
Scan vision interval and scan vision total quantity are determined based on the sweep parameter；
All described sweep is determined based on the sweep parameter, the scan vision interval and the scan vision total quantity
Retouch the bed information in the visual field；
Obtain scan data；
Preview image reconstruction is carried out based on the scan data and the bed information, obtains and rebuilds preview image.
Above-mentioned CT preview image rebuilds optimization method, device, computer equipment and storage medium, by obtaining scanning ginseng
Number, and scan vision interval and scan vision total quantity are determined based on sweep parameter, it is based on the sweep parameter, the scanning
Visual field interval and the scan vision total quantity determine the bed information of all scan visions, and based on scan data with
And bed information carries out preview image reconstruction, obtains the method for rebuilding preview image, when being scanned at the beginning, algorithm for reconstructing
It can start to calculate, greatly improve the reconstruction speed of piece image, shorten piece image goes out the figure time, makes first
The figure time out of width image meets the performance requirement of CT system.
Detailed description of the invention
Fig. 1 is the flow diagram that CT preview image rebuilds optimization method in one embodiment of the invention；
Fig. 2 is the structural block diagram that CT preview image rebuilds optimization device in one embodiment of the invention；
Fig. 3 is the internal structure chart of computer equipment in one embodiment of the invention.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
Computer tomography (Computed Tomography, CT) equipment since the advent of the world, imaging technique undergo an unusual development
Rapidly, equipment is constantly updated, and has become one of inside of human body histoorgan solution plane most important image system of morphosis.?
Medically, for blood clot and human body soft tissue injury, stomach disease in the damage on diagnosis of vertebral and head, the swollen disease of encephalic, brain
Disease, waist and pelvis malignant change etc..Its basic process being imaged includes: that X-ray is issued by CT bulb focal position through remarkable
Body reaches detector；Detector receives the x-ray through this layer and is converted into energy intensity signal；Data Collection & Processing System pair
Energy intensity signal is acquired, and certain algorithm is combined to rebuild original image.Using CT machine, doctor can be clearly observed general
Logical X-ray is difficult to the body tissue situation shown, such as cerebral hemorrhage, various minimal neoplastics, so that clinical diagnosis level is shown
It writes and improves.
The image that CT is rebuild can be divided into diagnostic image and preview image, and diagnostic image is mainly used for doctor and carries out image
Diagnosis, the quality requirement of diagnostic image is higher, and rate request is not relatively high, and preview image be mainly used for CT scan when
It waits, whether preview scans required position, to be diagnosed in advance.Preview image to the quality requirement of image relatively not
Height, but very high to figure rate request out, substantially require to sweep to where, will be by corresponding preview graph in one second or several hundred milliseconds
As being output on interface.So the figure speed that goes out of preview image is an important indicator of current CT system reconstruction image, and scheme
Go out figure time (TTFI) and map number (IPS) out per second of the piece image of picture are wherein more crucial indexs.
Referring to Fig. 1, Fig. 1 is that the CT preview image of one embodiment of the invention rebuilds the schematic diagram of optimization method.
In the present embodiment, the CT preview image reconstruction optimization method includes:
Step 100, sweep parameter is obtained.
In the present embodiment, the sweep parameter includes screw pitch, every circle scan vision quantity, scanning direction, scan image
Quantity, sweep length, image layer interval and image layer thickness.
Specifically, the screw pitch is that rack rotation is turned around, the mobile distance of hospital bed.In the present embodiment, the screw pitch exists
It is remained unchanged in entire scanning process, i.e., scanning process is at the uniform velocity.
Specifically, every circle scan vision quantity is that rack rotation is turned around, the number being scanned from different perspectives.
Specifically, the quantity for the image rebuild after the scan image quantity is entire scanning process.
Specifically, the sweep length is width in the scan data actually corresponding direction z.
Step 110, scan vision interval and scan vision total quantity are determined based on the sweep parameter.
Specifically, described scan vision interval to be determined based on the sweep parameter and scan vision total quantity includes:
Sweep length and scan vision interval are determined based on the sweep parameter.
In the present embodiment, described sweep length to be determined based on sweep parameter and scan vision interval includes:
Sweep length is determined based on sweep length, scan image quantity, image layer interval and image layer thickness；
Scan vision interval is determined based on screw pitch, sweep length and every circle scan vision quantity.
Specifically, the calculation formula of the sweep length are as follows:
ScanLength=Collimation+ (ImageNum-1) * ImageIncrement+ImageThickness
Wherein, ScanLength is sweep length, and Collimation is sweep length, and ImageNum is scan image number
Amount, ImageIncrement are image layer interval, and ImageThickness is image layer thickness.
Specifically, the calculation formula at the scan vision interval are as follows:
Wherein, ViewDist is scan vision interval, and pitch is screw pitch, and Collimation is sweep length,
ViewPerRevolution is every circle scan vision quantity.
Specifically, described to determine that scan vision interval and scan vision total quantity further include base based on the sweep parameter
Scan vision total quantity is determined in sweep length and scan vision interval.
Specifically, described to determine that scan vision total quantity includes calculating scanning based on sweep length and scan vision interval
The quotient of length and scan vision interval obtains scan vision total quantity.
Illustratively, the calculation formula of the scan vision total quantity are as follows:
Wherein, ViewNum is scan vision total quantity, and ScanLength is sweep length, and ViewDist is scan vision
Interval.
Step 120, institute is determined based on the sweep parameter, the scan vision interval and the scan vision total quantity
There is the bed information of the scan vision.
In the present embodiment, described total based on the sweep parameter, the scan vision interval and the scan vision
Quantity determines that the bed information of all scan visions includes based on preliminary sweep visual field bed information, scanning direction, scanning
Visual field total quantity and scan vision interval determine the bed information of all scan visions.Specifically, the bed information includes position
It sets, the information such as tilt angle.
Specifically, the calculation formula of the bed information of all scan visions are as follows:
Couch (i)=couch (0)+i*CouchDirection*ViewDist
Wherein, couch (i) is the bed information of all scan visions, and couch (0) is preliminary sweep visual field bed information,
I is scan vision sequence, and specifically, i's may range from 0-ViewNum；CouchDirection is scanning direction,
ViewDist is scan vision interval.It should be understood that being based on above-mentioned formula and scan vision total quantity, institute can be successively determined
There is the bed information of scan vision.
Step 130, scan data is obtained.
Specifically, the acquisition scan data includes obtaining the scanning being scanned in initial visual field position to patient
Data.
Step 140, preview image reconstruction is carried out based on the scan data and the bed information, obtains and rebuilds preview
Image.
In the present embodiment, described that preview image reconstruction is carried out based on the scan data and the bed information, it obtains
It includes the bed information based on the scan data and all scan visions that preview image, which must be rebuild, carries out figure using BP algorithm
As rebuilding, the first width reconstruction image is obtained.In other embodiments, image can also be carried out using other image reconstruction algorithms
It rebuilds.
Illustratively, above-mentioned CT preview image rebuilds optimization method when scanning just starts, and obtains screw pitch, every circle scanning view
The sweep parameters such as wild quantity, scanning direction, scan image quantity, sweep length, image layer interval and image layer thickness, then base
Sweep length is determined in sweep length, scan image quantity, image layer interval and image layer thickness, is based on screw pitch, sweep length
Scan vision interval is determined with every circle scan vision quantity, and scanning view is then determined based on sweep length and scan vision interval
Wild total quantity determines institute based on preliminary sweep visual field bed information, scanning direction, scan vision total quantity and scan vision interval
There is the bed information of scan vision, finally use BP algorithm, bed information and scan data based on all scan visions carry out
Image reconstruction obtains the first width reconstruction image.
It should be understood that although each step in the flow chart of Fig. 1 is successively shown according to the instruction of arrow, this
A little steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly state otherwise herein, these steps
It executes there is no the limitation of stringent sequence, these steps can execute in other order.Moreover, at least part in Fig. 1
Step may include that perhaps these sub-steps of multiple stages or stage are executed in synchronization to multiple sub-steps
It completes, but can execute at different times, the execution sequence in these sub-steps or stage, which is also not necessarily, successively to be carried out,
But it can be executed in turn or alternately at least part of the sub-step or stage of other steps or other steps.
In one embodiment, as shown in Fig. 2, providing a kind of CT preview image reconstruction optimization device, comprising: obtain mould
Block 200, the first determining module 210, the second determining module 220, scan data obtain module 230 and image reconstruction module 240,
In:
Sweep parameter obtains module 200, for obtaining sweep parameter.
First determining module 210, for determining scan vision interval and scan vision sum based on the sweep parameter
Amount.
Second determining module 220, for determining institute based on sweep parameter, scan vision interval and scan vision total quantity
There is the bed information of the scan vision.
Scan data obtains module 230, for obtaining scan data.
Image reconstruction module 240, for carrying out preview image reconstruction based on the scan data and the bed information,
It obtains and rebuilds preview image.
The specific restriction for rebuilding optimization device about CT preview image may refer to rebuild above for CT preview image
The restriction of optimization method, details are not described herein.The modules that above-mentioned CT preview image is rebuild in optimization device can whole or portion
Divide and is realized by software, hardware and combinations thereof.Above-mentioned each module can be embedded in the form of hardware or independently of computer equipment
In processor in, can also be stored in a software form in the memory in computer equipment, in order to processor calling hold
The corresponding operation of the above modules of row.
In one embodiment, a kind of computer equipment is provided, which can be terminal, internal structure
Figure can be as shown in Figure 3.The computer equipment includes processor, the memory, network interface, display connected by system bus
Screen and input unit.Wherein, the processor of the computer equipment is for providing calculating and control ability.The computer equipment is deposited
Reservoir includes non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system and computer journey
Sequence.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The network interface of machine equipment is used to communicate with external terminal by network connection.When the computer program is executed by processor with
Realize that a kind of CT preview image rebuilds optimization method.The display screen of the computer equipment can be liquid crystal display or electronic ink
Water display screen, the input unit of the computer equipment can be the touch layer covered on display screen, be also possible to computer equipment
Key, trace ball or the Trackpad being arranged on shell can also be external keyboard, Trackpad or mouse etc..
It will be understood by those skilled in the art that structure shown in Fig. 3, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment
It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment, including memory and processor are provided, is stored in memory
Computer program, the processor perform the steps of when executing computer program
Obtain sweep parameter；
Scan vision interval and scan vision total quantity are determined based on the sweep parameter；
All described sweep is determined based on the sweep parameter, the scan vision interval and the scan vision total quantity
Retouch the bed information in the visual field；
Obtain scan data；
Preview image reconstruction is carried out based on the scan data and the bed information, obtains and rebuilds preview image.
In one embodiment, it is also performed the steps of when processor executes computer program
Sweep length is determined based on the sweep parameter.
In one embodiment, it is also performed the steps of when processor executes computer program
It is determined based on the sweep length, the scan image quantity, described image interlayer every with described image thickness degree
The sweep length.
In one embodiment, it is also performed the steps of when processor executes computer program
The scan vision interval is determined based on the screw pitch, the sweep length and every circle scan vision quantity.
In one embodiment, it is also performed the steps of when processor executes computer program
The scan vision total quantity is determined based on the sweep length and the scan vision interval.
In one embodiment, it is also performed the steps of when processor executes computer program
Based on the initial scan vision bed information, the scanning direction, the scan vision total quantity and described sweep
Visual field interval is retouched, determines the bed information of all scan visions.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
Obtain sweep parameter；
Scan vision interval and scan vision total quantity are determined based on the sweep parameter；
All described sweep is determined based on the sweep parameter, the scan vision interval and the scan vision total quantity
Retouch the bed information in the visual field；
Obtain scan data；
Preview image reconstruction is carried out based on the scan data and the bed information, obtains and rebuilds preview image.
In one embodiment, it is also performed the steps of when computer program is executed by processor
Sweep length is determined based on the sweep parameter.
In one embodiment, it is also performed the steps of when computer program is executed by processor
It is determined based on the sweep length, the scan image quantity, described image interlayer every with described image thickness degree
The sweep length.
In one embodiment, it is also performed the steps of when computer program is executed by processor
The scan vision interval is determined based on the screw pitch, the sweep length and every circle scan vision quantity.
In one embodiment, it is also performed the steps of when computer program is executed by processor
The scan vision total quantity is determined based on the sweep length and the scan vision interval.
In one embodiment, it is also performed the steps of when computer program is executed by processor
Based on the initial scan vision bed information, the scanning direction, the scan vision total quantity and described sweep
Visual field interval is retouched, determines the bed information of all scan visions.
Above-mentioned CT preview image rebuilds optimization method, device, computer equipment and storage medium, by obtaining scanning ginseng
Number, and scan vision interval and scan vision total quantity are determined based on sweep parameter, it is based on the sweep parameter, the scanning
Visual field interval and the scan vision total quantity determine the bed information of all scan visions, and based on scan data with
And bed information carries out preview image reconstruction, obtains the method for rebuilding preview image, when being scanned at the beginning, algorithm for reconstructing
It can start to calculate, greatly improve the reconstruction speed of piece image, shorten piece image goes out the figure time, makes first
The figure time out of width image meets the performance requirement of CT system.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application
Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of CT preview image rebuilds optimization method, which is characterized in that the described method includes:
Obtain sweep parameter；
Scan vision interval and scan vision total quantity are determined based on the sweep parameter；
All scanning views are determined based on the sweep parameter, the scan vision interval and the scan vision total quantity
Wild bed information；
Obtain scan data；
Preview image reconstruction is carried out based on the scan data and the bed information, obtains and rebuilds preview image.
2. the method according to claim 1, wherein further include:
Sweep length is determined based on the sweep parameter.
3. according to the method described in claim 2, it is characterized in that, the sweep parameter includes:
Screw pitch, every circle scan vision quantity, scanning direction, scan image quantity, sweep length, image layer interval and image thickness
Degree.
4. according to the method described in claim 3, it is characterized by further comprising:
Based on the sweep length, the scan image quantity, described image interlayer every with described image thickness degree determine described in
Sweep length.
5. according to the method described in claim 3, it is characterized in that, described determine scan vision interval based on the sweep parameter
And scan vision total quantity includes:
The scan vision interval is determined based on the screw pitch, the sweep length and every circle scan vision quantity.
6. according to the method described in claim 2, it is characterized in that, described determine scan vision interval based on the sweep parameter
And scan vision total quantity includes:
The scan vision total quantity is determined based on the sweep length and the scan vision interval.
7. according to the method described in claim 3, it is characterized in that, described be based on sweep parameter, scan vision interval and sweep
Visual field total quantity is retouched, determines that the bed information of all scan visions includes:
Based on the initial scan vision bed information, the scanning direction, the scan vision total quantity and scanning view
Open country interval, determines the bed information of all scan visions.
8. a kind of CT preview image rebuilds optimization device, which is characterized in that described device includes:
Sweep parameter obtains module, for obtaining sweep parameter；
First determining module, for determining scan vision interval and scan vision total quantity based on the sweep parameter；
Second determining module, it is all described for being determined based on sweep parameter, scan vision interval and scan vision total quantity
The bed information of scan vision；
Scan data obtains module, for obtaining scan data；
Image reconstruction module is weighed for carrying out preview image reconstruction based on the scan data and the bed information
Build preview image.
9. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists
In the processor performs the steps of when executing the computer program
Obtain sweep parameter；
Scan vision interval and scan vision total quantity are determined based on the sweep parameter；
The bed letter of all scan visions is determined based on sweep parameter, scan vision interval and scan vision total quantity
Breath；
Obtain scan data；
Preview image reconstruction is carried out based on the scan data and the bed information, obtains and rebuilds preview image.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
It is performed the steps of when being executed by processor
Obtain sweep parameter；
Scan vision interval and scan vision total quantity are determined based on the sweep parameter；
The bed letter of all scan visions is determined based on sweep parameter, scan vision interval and scan vision total quantity
Breath；
Obtain scan data；
Preview image reconstruction is carried out based on the scan data and the bed information, obtains and rebuilds preview image.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811354663.8A CN109199422B (en) | 2018-11-14 | 2018-11-14 | CT preview image reconstruction optimization method and device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811354663.8A CN109199422B (en) | 2018-11-14 | 2018-11-14 | CT preview image reconstruction optimization method and device, computer equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109199422A true CN109199422A (en) | 2019-01-15 |
| CN109199422B CN109199422B (en) | 2022-03-25 |
Family
ID=64995991
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811354663.8A Active CN109199422B (en) | 2018-11-14 | 2018-11-14 | CT preview image reconstruction optimization method and device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109199422B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110833429A (en) * | 2019-12-03 | 2020-02-25 | 上海联影医疗科技有限公司 | Computed tomography imaging method, device, equipment and storage medium |
| CN110942490A (en) * | 2019-11-12 | 2020-03-31 | 东软医疗系统股份有限公司 | Data transmission method and device and electronic equipment |
| CN111524201A (en) * | 2020-04-24 | 2020-08-11 | 江苏赛诺格兰医疗科技有限公司 | Method for detecting image reconstruction speed, computer-readable storage medium and device |
| CN113256750A (en) * | 2021-05-26 | 2021-08-13 | 武汉中科医疗科技工业技术研究院有限公司 | Medical image style reconstruction method and device, computer equipment and storage medium |
| CN115919285A (en) * | 2023-02-28 | 2023-04-07 | 山东奥新医疗科技有限公司 | Nuclear magnetic resonance positioning method, device, equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103505231A (en) * | 2012-06-19 | 2014-01-15 | 上海西门子医疗器械有限公司 | Method and system for adjusting semi-fan-shaped beam angle of computed tomography system and system thereof |
| CN106264587A (en) * | 2016-07-25 | 2017-01-04 | 沈阳东软医疗系统有限公司 | Multisequencing scan method and device |
| CN106537398A (en) * | 2014-07-16 | 2017-03-22 | 皇家飞利浦有限公司 | IRECON: intelligent image reconstruction system with anticipatory execution |
| CN107146266A (en) * | 2017-05-05 | 2017-09-08 | 上海联影医疗科技有限公司 | A kind of image rebuilding method, device, medical image system and storage medium |
-
2018
- 2018-11-14 CN CN201811354663.8A patent/CN109199422B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103505231A (en) * | 2012-06-19 | 2014-01-15 | 上海西门子医疗器械有限公司 | Method and system for adjusting semi-fan-shaped beam angle of computed tomography system and system thereof |
| CN106537398A (en) * | 2014-07-16 | 2017-03-22 | 皇家飞利浦有限公司 | IRECON: intelligent image reconstruction system with anticipatory execution |
| CN106264587A (en) * | 2016-07-25 | 2017-01-04 | 沈阳东软医疗系统有限公司 | Multisequencing scan method and device |
| CN107146266A (en) * | 2017-05-05 | 2017-09-08 | 上海联影医疗科技有限公司 | A kind of image rebuilding method, device, medical image system and storage medium |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110942490A (en) * | 2019-11-12 | 2020-03-31 | 东软医疗系统股份有限公司 | Data transmission method and device and electronic equipment |
| CN110833429A (en) * | 2019-12-03 | 2020-02-25 | 上海联影医疗科技有限公司 | Computed tomography imaging method, device, equipment and storage medium |
| CN110833429B (en) * | 2019-12-03 | 2024-03-26 | 上海联影医疗科技股份有限公司 | Computed tomography imaging method, device, equipment and storage medium |
| CN111524201A (en) * | 2020-04-24 | 2020-08-11 | 江苏赛诺格兰医疗科技有限公司 | Method for detecting image reconstruction speed, computer-readable storage medium and device |
| CN111524201B (en) * | 2020-04-24 | 2023-12-26 | 江苏赛诺格兰医疗科技有限公司 | Method for detecting image reconstruction speed, computer readable storage medium and apparatus |
| CN113256750A (en) * | 2021-05-26 | 2021-08-13 | 武汉中科医疗科技工业技术研究院有限公司 | Medical image style reconstruction method and device, computer equipment and storage medium |
| CN115919285A (en) * | 2023-02-28 | 2023-04-07 | 山东奥新医疗科技有限公司 | Nuclear magnetic resonance positioning method, device, equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109199422B (en) | 2022-03-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109199422A (en) | CT preview image rebuilds optimization method, device, computer equipment and storage medium | |
| CN111223066B (en) | Motion artifact correction method, motion artifact correction device, computer equipment and readable storage medium | |
| CN105078495B (en) | PET-CT scanning imaging method and related imaging method | |
| CN111493909B (en) | Medical image scanning method, medical image scanning device, computer equipment and storage medium | |
| US8965080B2 (en) | Perfusion imaging | |
| CN110717961B (en) | Multi-modal image reconstruction method and device, computer equipment and storage medium | |
| CN111904379B (en) | Scanning method and device for multi-mode medical equipment | |
| CN111161270A (en) | Blood vessel segmentation method for medical image, computer device and readable storage medium | |
| CN110960241A (en) | Method and device for determining scanning parameters of medical image scanning and computer equipment | |
| CN111080584A (en) | Quality control method for medical image, computer device and readable storage medium | |
| CN111402355B (en) | PET image reconstruction method, PET image reconstruction device and computer equipment | |
| CN109567852B (en) | Method for determining scanning range, method, device and equipment for acquiring medical image | |
| CN111612689B (en) | Medical image processing method, medical image processing device, computer equipment and readable storage medium | |
| CN110473226B (en) | Training method of image processing network, computer device and readable storage medium | |
| CN110264559A (en) | A kind of bone tomographic image reconstructing process and system | |
| JP2005103263A (en) | Method of operating image formation inspecting apparatus with tomographic ability, and x-ray computerized tomographic apparatus | |
| CN114548238A (en) | Image three-dimensional reconstruction method and device, electronic equipment and storage medium | |
| CN115100067A (en) | Image reconstruction method and device | |
| CN110223247B (en) | Image attenuation correction method, device, computer equipment and storage medium | |
| CN115311191A (en) | Generating reformatted views of three-dimensional anatomical scans using deep learning estimated scan scheme masks | |
| CN111161369B (en) | Image reconstruction storage method, device, computer equipment and storage medium | |
| CN110189386B (en) | Medical image processing method, medical image processing device, storage medium and computer equipment | |
| CN108898582A (en) | Cardiac image method for reconstructing, device and computer equipment | |
| CN110738639B (en) | Medical image detection result display method, device, equipment and storage medium | |
| CN110473241A (en) | Method for registering images, storage medium and computer equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 201807 Shanghai City, north of the city of Jiading District Road No. 2258 Applicant after: Shanghai Lianying Medical Technology Co., Ltd Address before: 201807 Shanghai City, north of the city of Jiading District Road No. 2258 Applicant before: SHANGHAI UNITED IMAGING HEALTHCARE Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |