CN109512448A - A kind of CT detector position calibration method and its system - Google Patents
A kind of CT detector position calibration method and its system Download PDFInfo
- Publication number
- CN109512448A CN109512448A CN201811643694.5A CN201811643694A CN109512448A CN 109512448 A CN109512448 A CN 109512448A CN 201811643694 A CN201811643694 A CN 201811643694A CN 109512448 A CN109512448 A CN 109512448A
- Authority
- CN
- China
- Prior art keywords
- artifact
- detector
- reconstruction image
- threshold value
- standard deviation
- 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
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/58—Testing, adjusting or calibrating apparatus or devices for radiation diagnosis
- A61B6/582—Calibration
- A61B6/585—Calibration of detector units
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/02—Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/027—Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis characterised by the use of a particular data acquisition trajectory, e.g. helical or spiral
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/02—Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computerised tomographs
- A61B6/032—Transmission computed tomography [CT]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/58—Testing, adjusting or calibrating apparatus or devices for radiation diagnosis
- A61B6/582—Calibration
- A61B6/583—Calibration using calibration phantoms
- A61B6/584—Calibration using calibration phantoms determining position of components of the apparatus or device using images of the phantom
Abstract
The invention discloses a kind of CT detector position calibration method and its system, the method includes the steps: it is rebuild the data for projection of the body mould of acquisition to obtain reconstruction image;It extracts the artifact of reconstruction image and judges whether the artifact strength of artifact region is less than threshold value;When artifact strength be greater than threshold value when, the position of tuning detector and continue rebuild obtain reconstruction image;When artifact strength is less than threshold value, calibration terminates.Due to determining corresponding detector module using artifact, and pass through the position of tuning detector module, carries out image calibration, remove artifact.The present invention is the algorithm on software to handle data.Data are handled on the basis of existing product image, carry out improving image quality.Die body of the present invention is simply at low cost, and calibration method operation is easy, and prover time is fast.
Description
Technical field
The present invention relates to medical imaging technology field more particularly to a kind of CT detector position calibration method and its it is
System.
Background technique
It in CT system, generallys use analytical algorithm and image is rebuild, but analytical algorithm is to the geometry mould of system
Type requires relatively high.Commercial CT generally uses the third generation to design, and is divided according to detector, can be divided into isogonism and equidistant design.?
The situation detector of isogonism is made of a large amount of detector module, these modules are placed on using X-ray source point as the circle in the center of circle
On arc.Equidistant detector is a plane, and the sampling interval is uniform.Mechanical precision cannot strictly meet wanting for algorithm for reconstructing model
It asks, will appear certain geometrical deviation in production and installation process, geometry is known as by the reconstruction artifact caused by the geometrical deviation
Artifact.Geometry artifact can reduce reconstructed image quality, influence diagnosis of the doctor to the state of an illness, reduce quality of medical care and safety.
It in the prior art, mainly include optical measurement and Accurate Calibration to the detector error calibration method of high-precision requirement
The parsing measurement of body mould.Both methods equipment is expensive, and body mould processing cost is high, and operating difficulties brings expensive production cost and people
Power cost.
Therefore, the existing technology needs to be improved and developed.
Summary of the invention
The technical problem to be solved in the present invention is that in view of the above drawbacks of the prior art, providing a kind of CT detector position
Set calibration method and its system, it is intended to solve the problems, such as that detector error calibration method is complex and costly in the prior art.
The technical proposal for solving the technical problem of the invention is as follows:
A kind of CT detector position calibration method, wherein comprising steps of
It is rebuild the data for projection of the body mould of acquisition to obtain reconstruction image;
It extracts the artifact of reconstruction image and judges whether the artifact strength of artifact region is less than threshold value;
When artifact strength be greater than threshold value when, the position of tuning detector and continue rebuild obtain reconstruction image;
When artifact strength is less than threshold value, calibration terminates.
The CT detector position calibration method, wherein the artifact for extracting reconstruction image simultaneously judges artifact region
Whether artifact strength specifically includes less than threshold step:
Index using standard deviation as artifact strength;
The artifact in reconstruction image is extracted, and obtains artifact region;
The standard deviation of artifact region is calculated, and whether judgment criteria difference is less than threshold value;
The standard deviation is calculated using following formula:
Wherein, std indicates standard deviation, and F indicates reconstruction image, and M and N are respectively the length and width of area-of-interest, i and
J is positive integer, and u is regional average value.
The CT detector position calibration method, wherein described when standard deviation is greater than threshold value, the position of tuning detector
And continues to rebuild and obtains reconstruction image step and specifically include:
When standard deviation is greater than threshold value, the geometric position of the corresponding detector module of artifact is corrected by searching algorithm;
Data for projection is calibrated using interpolation method;
The data for projection of calibration is continued to rebuild and obtains reconstruction image.
The CT detector position calibration method, wherein the step passes through searching algorithm when standard deviation is greater than threshold value
Before the geometric position for correcting the corresponding detector module of artifact further include:
The corresponding detector module of artifact is determined according to artifact and the points of tangency of body mould.
The CT detector position calibration method, wherein the interpolation method is linear interpolation, non-linear interpolation or high-order
Interpolation.
A kind of CT detector position calibration system, wherein include: processor, and the storage being connected to the processor
Device,
The memory is stored with CT detector position calibration procedure, and the CT detector position calibration procedure is by the place
Reason device performs the steps of when executing
It is rebuild the data for projection of the body mould of acquisition to obtain reconstruction image;
It extracts the artifact of reconstruction image and judges whether the artifact strength of artifact region is less than threshold value;
When artifact strength be greater than threshold value when, the position of tuning detector and continue rebuild obtain reconstruction image;
When artifact strength is less than threshold value, calibration terminates.
The CT detector position calibration system, wherein the CT detector position calibration procedure is held by the processor
When row, also perform the steps of
Index using standard deviation as artifact strength;
The artifact in reconstruction image is extracted, and obtains artifact region;
The standard deviation of artifact region is calculated, and whether judgment criteria difference is less than threshold value;
The standard deviation is calculated using following formula:
Wherein, std indicates standard deviation, and F indicates reconstruction image, and M and N are respectively the length and width of area-of-interest, i and
J is positive integer, and u is regional average value.
The CT detector position calibration system, wherein the CT detector position calibration procedure is held by the processor
When row, also perform the steps of
When standard deviation is greater than threshold value, the geometric position of the corresponding detector module of artifact is corrected by searching algorithm;
Data for projection is calibrated using interpolation method;
The data for projection of calibration is continued to rebuild and obtains reconstruction image.
The CT detector position calibration system, wherein the CT detector position calibration procedure is held by the processor
When row, also perform the steps of
The corresponding detector module of artifact is determined according to artifact and the points of tangency of body mould.
The CT detector position calibration system, wherein the interpolation method is linear interpolation, non-linear interpolation or high-order
Interpolation.
The utility model has the advantages that due to determining corresponding detector module using artifact, and pass through the position of tuning detector module,
Image calibration is carried out, artifact is removed.The present invention is the algorithm on software to handle data.On the basis of existing product image
Data are handled, improving image quality is carried out.Die body of the present invention is simply at low cost, and calibration method operation is easy, prover time
Fastly.
Detailed description of the invention
Fig. 1 is the flow chart of CT detector position calibration method preferred embodiment in the present invention.
Fig. 2 is the schematic diagram for the jail-bar artifacts that detector error generates.
Fig. 3 is the schematic diagram after detector calibrates for error.
Fig. 4 is the functional schematic block diagram of CT detector position calibration system preferred embodiment in the present invention.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer and more explicit, right as follows in conjunction with drawings and embodiments
The present invention is further described.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and do not have to
It is of the invention in limiting.
Please refer to Fig. 1-Fig. 3, the present invention provides a kind of some embodiments of CT detector position calibration method.
As shown in Figure 1, CT detector position calibration method of the invention, comprising the following steps:
Step S100, it is rebuild the data for projection of the body mould of acquisition to obtain reconstruction image.
Firstly, being scanned to obtain the data for projection of body mould to body mould, the body mould used in the present embodiment can select disease
Bed, screwdriver, the moisture film being equipped at random etc. do not need one accurate nominal volume mould of production, to reduce the production of body mould
Cost.Scanning in the present embodiment can be helical scanning or step-scan.
Then, it is rebuild to obtain reconstruction image using original model, since there are several for the installation site of detector module
What error (can be lateral geometric error, be also possible to longitudinal geometric error), i.e., actual detector module and ideal spy
Survey device module there are positional shifts, therefore, as shown in Fig. 2, reconstruction image have artifact, artifact be usually it is in a strip shape or band-like,
It is illustrated by taking strip artifact as an example below.
Specifically, the body mould of cylindrical body is used in the present embodiment,
Step S200, it extracts the artifact of reconstruction image and judges whether the artifact strength of artifact region is less than threshold value.
The step S200 is specifically included:
Step S210, the index using standard deviation as artifact strength.
Artifact strength is indicated using standard deviation in the present embodiment, can be indicated using gradient in another preferred embodiment
Artifact strength.
Step S220, the artifact in reconstruction image is extracted, and obtains artifact region.
The artifact in image is extracted, image Plays difference is greater than regime values (for example, unit that 10HU, HU refer to CT value)
Region be artifact region, artifact is in a strip shape here, artifact can extract one by one, in selected target puppet movie queen, the puppet shadow zone
Domain namely area-of-interest (ROI, region of interest) in subsequent calibration process, are all with the artifact region
Basis calculates the standard deviation in artifact region, and when the standard deviation in area-of-interest is less than threshold value, calibration terminates.
Specifically, the standard deviation is calculated using following formula:
Wherein, std indicates standard deviation, and F indicates reconstruction image, and M and N are respectively the length and width of area-of-interest, i and
J is positive integer, and u is regional average value.
Step S230, the standard deviation of artifact region is calculated, and whether judgment criteria difference is less than threshold value.
Certainly, when first time obtaining artifact region, standard deviation is greater than 10HU, is also naturally larger than threshold value, that is to say, that
Threshold value, which can according to need, to be configured, and threshold value is less than 10HU.
Step S300, when artifact strength be greater than threshold value when, the position of tuning detector and continue rebuild obtain reconstruction image.
I.e. when standard deviation be greater than threshold value when, the position of tuning detector and continue rebuild obtain reconstruction image
The step S300 is specifically included:
Step S310, the corresponding detector module of artifact is determined according to artifact and the points of tangency of body mould.
Artifact is as caused by the geometrical deviation of detector module, and each artifact has corresponding detector module, school
The position of positive detector, first has to find the corresponding detector module of artifact.The present embodiment uses cylinder mould, such as Fig. 2 institute
Show, in reconstruction image, white area is the cross section of body mould, and white area is rounded, where the circle and detector module of body mould
Circle be concentric circles, therefore, strip artifact and body mould are tangential on certain point, by this in the position of the circle of body mould, can push away
Know the corresponding detector module of artifact in the position of the circle where detector, that is to say, that the center of circle, points of tangency and artifact are corresponding
Detector module be point-blank.
Step S320, when standard deviation is greater than threshold value, the several of the corresponding detector module of artifact are corrected by searching algorithm
What position.
Only carry out single pass in the present invention, then to the geometrical deviation of detector module in the method for reconstructing of original model into
Row amendment utilizes search algorithms to the artifact strength for reducing artifact region by the geometric position of estimation amendment detector module
Or standard deviation, searching algorithm can such as use the search of fixed step size (such as 5um).Class of Iterative side can certainly be used
Method, for example, gradient declines, dichotomizing search method etc. can also be using parsing class method, such as least square method etc..
The systematic error of the geometric position of initial detector module is set as 0, can add on the basis of being uniformly distributed
Upper systematic error is revised detector.
Step S330, data for projection is calibrated using interpolation method.
Specifically, interpolation is done according to the geometric position of detector module, corrects the geometrical deviation of detector module, then closes
At data for projection to get the data for projection to after calibrating.The interpolation method is that linear interpolation, non-linear interpolation or high-order are inserted
Value.
Step S340, the data for projection of calibration is continued to rebuild and obtains reconstruction image.
Namely return to step S100, to the data for projection of calibration continue rebuild obtain reconstruction image, then into
Enter step S200.
Step S400, when artifact strength is less than threshold value, calibration terminates.
I.e. when standard deviation is less than threshold value, calibration terminates, and calibration terminates to be exportable final image, as shown in figure 3, most
In whole image, artifact is disappeared.
It is worth noting that due to determining corresponding detector module using artifact, and pass through tuning detector module
Position carries out image calibration, removes artifact.The present invention is the algorithm on software to handle data.In existing product image
On the basis of handle data, carry out improving image quality.Die body of the present invention is simply at low cost, and calibration method operation is easy, school
It is fast between punctual.
It include fan-beam, multilayer and cone-beam system that invention, which can be used in third-generation computer computed tomography (SPECT) system, while the party
Method is also applied for the computed tomography imaging system of other several generations.
The present invention also provides a kind of preferred embodiments of CT detector position calibration system:
Please as shown in figure 4, the embodiment of the present invention CT detector position calibration system, comprising: processor 10, and with institute
The memory 20 of the connection of processor 10 is stated,
The memory 20 is stored with CT detector position calibration procedure, and the CT detector position calibration procedure is described
Processor 10 performs the steps of when executing
It is rebuild the data for projection of the body mould of acquisition to obtain reconstruction image;
It extracts the artifact of reconstruction image and judges whether the artifact strength of artifact region is less than threshold value;
When artifact strength be greater than threshold value when, the position of tuning detector and continue rebuild obtain reconstruction image;
When artifact strength is less than threshold value, calibration terminates, as detailed above.
When the CT detector position calibration procedure is executed by the processor 10, also perform the steps of
Index using standard deviation as artifact strength;
The artifact in reconstruction image is extracted, and obtains artifact region;
The standard deviation of artifact region is calculated, and whether judgment criteria difference is less than threshold value;
In the present embodiment, the standard deviation is calculated using following formula:
Wherein, std indicates standard deviation, and F indicates reconstruction image, and M and N are respectively the length and width of area-of-interest, i and
J is positive integer, and u is regional average value, as detailed above.
When the CT detector position calibration procedure is executed by the processor 10, also perform the steps of
When standard deviation is greater than threshold value, the geometric position of the corresponding detector module of artifact is corrected by searching algorithm;
Data for projection is calibrated using interpolation method;
The data for projection of calibration is continued to rebuild and obtains reconstruction image, as detailed above.
When the CT detector position calibration procedure is executed by the processor 10, also perform the steps of
The corresponding detector module of artifact is determined according to artifact and the points of tangency of body mould, as detailed above.
In the present embodiment, the interpolation method be linear interpolation, non-linear interpolation or high-order interpolation, as detailed above.
In conclusion a kind of CT detector position calibration method provided by the present invention and its system, the method includes
Step: it is rebuild the data for projection of the body mould of acquisition to obtain reconstruction image;It extracts the artifact of reconstruction image and judges artifact
Whether the artifact strength in region is less than threshold value;When artifact strength is greater than threshold value, the position of tuning detector simultaneously continues to rebuild
To reconstruction image;When artifact strength is less than threshold value, calibration terminates.Due to determining corresponding detector module using artifact, and
By the position of tuning detector module, image calibration is carried out, removes artifact.The present invention is the algorithm on software to handle number
According to.Data are handled on the basis of existing product image, carry out improving image quality.Die body of the present invention is simply at low cost,
Calibration method operation is easy, and prover time is fast.
It should be understood that the application of the present invention is not limited to the above for those of ordinary skills can
With improvement or transformation based on the above description, all these modifications and variations all should belong to the guarantor of appended claims of the present invention
Protect range.
Claims (10)
1. a kind of CT detector position calibration method, which is characterized in that comprising steps of
It is rebuild the data for projection of the body mould of acquisition to obtain reconstruction image;
It extracts the artifact of reconstruction image and judges whether the artifact strength of artifact region is less than threshold value;
When artifact strength be greater than threshold value when, the position of tuning detector and continue rebuild obtain reconstruction image;
When artifact strength is less than threshold value, calibration terminates.
2. CT detector position calibration method according to claim 1, which is characterized in that the artifact for extracting reconstruction image
And judge whether the artifact strength of artifact region specifically includes less than threshold step:
Index using standard deviation as artifact strength;
The artifact in reconstruction image is extracted, and obtains artifact region;
The standard deviation of artifact region is calculated, and whether judgment criteria difference is less than threshold value;
The standard deviation is calculated using following formula:
Wherein, std indicates standard deviation, and F indicates reconstruction image, and M and N are respectively the length and width of area-of-interest, and i and j are
Positive integer, u are regional average value.
3. CT detector position calibration method according to claim 2, which is characterized in that described when standard deviation is greater than threshold value
When, the position of tuning detector simultaneously continues to rebuild and obtains reconstruction image step and specifically include:
When standard deviation is greater than threshold value, the geometric position of the corresponding detector module of artifact is corrected by searching algorithm;
Data for projection is calibrated using interpolation method;
The data for projection of calibration is continued to rebuild and obtains reconstruction image.
4. CT detector position calibration method according to claim 3, which is characterized in that the step is greater than threshold when standard deviation
When value, before the geometric position that the corresponding detector module of artifact is corrected by searching algorithm further include:
The corresponding detector module of artifact is determined according to artifact and the points of tangency of body mould.
5. CT detector position calibration method according to claim 3, which is characterized in that the interpolation method is linear inserts
Value, non-linear interpolation or high-order interpolation.
6. a kind of CT detector position calibration system characterized by comprising processor, and be connected to the processor
Memory,
The memory is stored with CT detector position calibration procedure, and the CT detector position calibration procedure is by the processor
It is performed the steps of when execution
It is rebuild the data for projection of the body mould of acquisition to obtain reconstruction image;
It extracts the artifact of reconstruction image and judges whether the artifact strength of artifact region is less than threshold value;
When artifact strength be greater than threshold value when, the position of tuning detector and continue rebuild obtain reconstruction image;
When artifact strength is less than threshold value, calibration terminates.
7. CT detector position calibration system according to claim 6, which is characterized in that the CT detector position calibrates journey
When sequence is executed by the processor, also perform the steps of
Index using standard deviation as artifact strength;
The artifact in reconstruction image is extracted, and obtains artifact region;
The standard deviation of artifact region is calculated, and whether judgment criteria difference is less than threshold value;
The standard deviation is calculated using following formula:
Wherein, std indicates standard deviation, and F indicates reconstruction image, and M and N are respectively the length and width of area-of-interest, and i and j are
Positive integer, u are regional average value.
8. CT detector position calibration system according to claim 6, which is characterized in that the CT detector position calibrates journey
When sequence is executed by the processor, also perform the steps of
When standard deviation is greater than threshold value, the geometric position of the corresponding detector module of artifact is corrected by searching algorithm;
Data for projection is calibrated using interpolation method;
The data for projection of calibration is continued to rebuild and obtains reconstruction image.
9. CT detector position calibration system according to claim 6, which is characterized in that the CT detector position calibrates journey
When sequence is executed by the processor, also perform the steps of
The corresponding detector module of artifact is determined according to artifact and the points of tangency of body mould.
10. CT detector position calibration system according to claim 6, which is characterized in that the interpolation method is linear inserts
Value, non-linear interpolation or high-order interpolation.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811643694.5A CN109512448B (en) | 2018-12-29 | 2018-12-29 | CT detector position calibration method and system thereof |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811643694.5A CN109512448B (en) | 2018-12-29 | 2018-12-29 | CT detector position calibration method and system thereof |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109512448A true CN109512448A (en) | 2019-03-26 |
CN109512448B CN109512448B (en) | 2022-10-28 |
Family
ID=65798672
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811643694.5A Active CN109512448B (en) | 2018-12-29 | 2018-12-29 | CT detector position calibration method and system thereof |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109512448B (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112150574A (en) * | 2020-09-28 | 2020-12-29 | 上海联影医疗科技股份有限公司 | Method, system and device for automatically correcting image artifacts and storage medium |
CN113112490A (en) * | 2021-04-23 | 2021-07-13 | 上海卓昕医疗科技有限公司 | Three-dimensional medical image mark point extraction method and system |
CN116327232A (en) * | 2023-03-27 | 2023-06-27 | 北京朗视仪器股份有限公司 | Parameter calibration method, device and equipment for skull photographing device |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4897788A (en) * | 1988-04-18 | 1990-01-30 | General Electric Company | Image correction for computed tomography to remove crosstalk artifacts |
US20050117708A1 (en) * | 2003-08-08 | 2005-06-02 | Young-Bin Cho | Method and system for calibrating a source and detector instrument |
CN101329403A (en) * | 2007-06-21 | 2008-12-24 | 上海西门子医疗器械有限公司 | Method for calibrating and detecting CT detector module |
KR20110020969A (en) * | 2009-08-25 | 2011-03-04 | 경희대학교 산학협력단 | Method and apparatus for correcting image artifacts caused by bad pixels of a flat-panel x-ray detector in computed tomography systems and tomosynthesis systems |
JP2013017675A (en) * | 2011-07-12 | 2013-01-31 | Fujifilm Corp | X-ray imaging device and calibration method therefor |
CN103901060A (en) * | 2014-04-14 | 2014-07-02 | 天津三英精密仪器有限公司 | X-ray microimaging background defect image correction and collection system |
CN105377141A (en) * | 2013-07-25 | 2016-03-02 | 株式会社日立医疗器械 | X-ray CT apparatus |
CN106651981A (en) * | 2016-12-07 | 2017-05-10 | 深圳先进技术研究院 | Method and device for correcting ring artifact |
-
2018
- 2018-12-29 CN CN201811643694.5A patent/CN109512448B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4897788A (en) * | 1988-04-18 | 1990-01-30 | General Electric Company | Image correction for computed tomography to remove crosstalk artifacts |
US20050117708A1 (en) * | 2003-08-08 | 2005-06-02 | Young-Bin Cho | Method and system for calibrating a source and detector instrument |
CN101329403A (en) * | 2007-06-21 | 2008-12-24 | 上海西门子医疗器械有限公司 | Method for calibrating and detecting CT detector module |
KR20110020969A (en) * | 2009-08-25 | 2011-03-04 | 경희대학교 산학협력단 | Method and apparatus for correcting image artifacts caused by bad pixels of a flat-panel x-ray detector in computed tomography systems and tomosynthesis systems |
JP2013017675A (en) * | 2011-07-12 | 2013-01-31 | Fujifilm Corp | X-ray imaging device and calibration method therefor |
CN105377141A (en) * | 2013-07-25 | 2016-03-02 | 株式会社日立医疗器械 | X-ray CT apparatus |
CN103901060A (en) * | 2014-04-14 | 2014-07-02 | 天津三英精密仪器有限公司 | X-ray microimaging background defect image correction and collection system |
CN106651981A (en) * | 2016-12-07 | 2017-05-10 | 深圳先进技术研究院 | Method and device for correcting ring artifact |
Non-Patent Citations (1)
Title |
---|
余晓锷等: "运用混合插值法降低金属伪影", 《南方医科大学学报》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112150574A (en) * | 2020-09-28 | 2020-12-29 | 上海联影医疗科技股份有限公司 | Method, system and device for automatically correcting image artifacts and storage medium |
CN112150574B (en) * | 2020-09-28 | 2022-11-08 | 上海联影医疗科技股份有限公司 | Method, system and device for automatically correcting image artifacts and storage medium |
CN113112490A (en) * | 2021-04-23 | 2021-07-13 | 上海卓昕医疗科技有限公司 | Three-dimensional medical image mark point extraction method and system |
CN113112490B (en) * | 2021-04-23 | 2022-09-30 | 上海卓昕医疗科技有限公司 | Three-dimensional medical image mark point extraction method and system |
CN116327232A (en) * | 2023-03-27 | 2023-06-27 | 北京朗视仪器股份有限公司 | Parameter calibration method, device and equipment for skull photographing device |
CN116327232B (en) * | 2023-03-27 | 2023-09-22 | 北京朗视仪器股份有限公司 | Parameter calibration method, device and equipment for skull photographing device |
Also Published As
Publication number | Publication date |
---|---|
CN109512448B (en) | 2022-10-28 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103679642B (en) | A kind of CT image metal artifact bearing calibration, device and CT equipment | |
JP6172729B2 (en) | Method and apparatus for motion correction of medical images | |
CN109512448A (en) | A kind of CT detector position calibration method and its system | |
CN109498051B (en) | Automatic position calibration method and system for CT sickbed frame | |
CN103026379B (en) | The method calculating image noise level | |
CN111192228B (en) | Image processing method, device, CT equipment and CT system | |
CN111524200B (en) | Method, apparatus and medium for segmenting a metal object in a projection image | |
US10568600B2 (en) | System and method for detecting anatomical regions | |
CN111260748B (en) | Digital synthesis X-ray tomography method based on neural network | |
CN108553121B (en) | PET delay scanning method and device | |
US9196064B2 (en) | Image reconstruction method and device for tilted helical scan | |
CN105528800A (en) | Computer tomography imaging pseudo shadow correction method and device | |
CN109741254B (en) | Dictionary training and image super-resolution reconstruction method, system, equipment and storage medium | |
US7020311B2 (en) | Reliability measure concerning the registration of cardiac MR perfusion measurements | |
CN112690810A (en) | Scanning method based on prior information and medical scanning system | |
US9202293B2 (en) | Method of extracting contour of tomogram, and computer-readable storage medium and apparatus therefor | |
KR102382602B1 (en) | 3D convolutional neural network based cone-beam artifact correction system and method | |
Faber et al. | Motion correction of pet brain images through deconvolution: I. theoretical development and analysis in software simulations | |
CN101524278B (en) | Method for correcting image depth effect | |
Anhaus et al. | A nonlinear scaling‐based normalized metal artifact reduction to reduce low‐frequency artifacts in energy‐integrating and photon‐counting CT | |
CN102764135B (en) | Heart axial movement correcting method for myocardium SPECT (single photon emission computed tomography) perfusion imaging | |
CN114972115A (en) | Image noise reduction method, device, equipment and medium | |
Dennerlein et al. | Geometric jitter compensation in cone-beam CT through registration of directly and indirectly filtered projections | |
US20220207794A1 (en) | Method of metal artefact reduction in x-ray dental volume tomography | |
KR101870890B1 (en) | Artifact correction method and device for metal of cone beam CT |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |