CN109567845A - Using the method for the random coincidence example of example mixing method building PET system - Google Patents
Using the method for the random coincidence example of example mixing method building PET system Download PDFInfo
- Publication number
- CN109567845A CN109567845A CN201811416449.0A CN201811416449A CN109567845A CN 109567845 A CN109567845 A CN 109567845A CN 201811416449 A CN201811416449 A CN 201811416449A CN 109567845 A CN109567845 A CN 109567845A
- Authority
- CN
- China
- Prior art keywords
- random coincidence
- lor
- pet system
- photon
- pairs
- 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 32
- 239000013078 crystal Substances 0.000 claims abstract description 11
- 230000000007 visual effect Effects 0.000 claims abstract description 5
- 238000013500 data storage Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 description 4
- 239000003814 drug Substances 0.000 description 3
- 239000000700 radioactive tracer Substances 0.000 description 3
- 229940079593 drug Drugs 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 230000004060 metabolic process Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 239000013589 supplement Substances 0.000 description 2
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000002059 diagnostic imaging Methods 0.000 description 1
- 235000014113 dietary fatty acids Nutrition 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 229930195729 fatty acid Natural products 0.000 description 1
- 239000000194 fatty acid Substances 0.000 description 1
- 150000004665 fatty acids Chemical class 0.000 description 1
- 239000008103 glucose Substances 0.000 description 1
- 238000001802 infusion Methods 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000002503 metabolic effect Effects 0.000 description 1
- 238000009206 nuclear medicine Methods 0.000 description 1
- 102000039446 nucleic acids Human genes 0.000 description 1
- 108020004707 nucleic acids Proteins 0.000 description 1
- 150000007523 nucleic acids Chemical class 0.000 description 1
- 238000002600 positron emission tomography Methods 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 239000012217 radiopharmaceutical Substances 0.000 description 1
- 229940121896 radiopharmaceutical Drugs 0.000 description 1
- 230000002799 radiopharmaceutical effect Effects 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 238000003325 tomography Methods 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
- A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computed tomography [CT]
- A61B6/037—Emission tomography
-
- 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
- A61B6/5205—Devices using data or image processing specially adapted for radiation diagnosis involving processing of raw data to produce diagnostic data
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Radiology & Medical Imaging (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Optics & Photonics (AREA)
- Pathology (AREA)
- Physics & Mathematics (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- High Energy & Nuclear Physics (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Nuclear Medicine (AREA)
- Measurement Of Radiation (AREA)
Abstract
The invention discloses the method for the random coincidence example using example mixing method building PET system, obtain that PET system is collected meets example immediately；Count the counting rate of each crystal or counting in random coincidence example；It will acquire crystal count to be distributed and normalize；Selection a pair meets example and N and meets example to other；Meet example or N for two pairs of selection to meet in example other1 He of photonPhoton 2 carries out combination of two, forms new four pairs or 2N to random coincidence example；Four LOR or 2N LOR are combined into random coincidence example by new four pairs or 2N；Judge whether LOR is eligible, by the removal of LOR except the visual field；The random coincidence example generating probability newly formed is calculated, the present invention provides a kind of simple flows, reduce being constructed in PET system using example mixing method for error and meet example immediately.
Description
Technical field
The present invention relates to medical imaging device technical field, it is more particularly to using example mixing method building PET system
The method of random coincidence example.
Background technique
Positron emission computerized tomography (Positron Emission Tomography) is the field of nuclear medicine ratio
More advanced clinical examination image technology.By the way that human injection's radioactive tracer drug, the radionuclide in drug declines
Raw a pair of of gamma-rays is sold of one's property, to obtain radiopharmaceutical in the intracorporal distribution map of people.What general radioactive tracer was chosen
It is necessary substance in biological life metabolism, such as: glucose, protein, nucleic acid, fatty acid, short-life radioactivity on label
Nucleic (such as 18F, 11C etc.) after injecting human body, passes through the aggregation for the substance in metabolism, Lai Fanying vital metabolic activity
The case where, to achieve the purpose that diagnosis, after radioactive tracer infusion of medicine to human body, radionuclide decay goes out positive electricity
Son, positive electron with tissue occur interaction and off-energy, this process mainly include photoelectric effect, Compton dissipate
Penetrate effect.With gradually decreasing for positive electron momentum, bury in oblivion when being close to 0 with the negative electron in tissue,
The γ photon of a pair of almost 180 degree angle is produced, and is detected by PET system detector.If two γ being detected
Photon source is in a same positron-electron annihilation event, and at least one photon is scattered with medium, and such example claims
Meet example for scattering.If two detected γ photons are from different positron-electron decay examples, such example
It is called random coincidence example, PET system is collected to be met in example, and comprising really meeting example, scattering meets example,
And random coincidence example needs to remove scattering and meets example and random coincidence example, in order to estimate in PET image reconstruction
The share and distribution of the collected random coincidence example met in example of PET system, most PET systems by using
The delay coincidence mode of same time window obtains random coincidence example, and estimates the random symbol in collected data with this
The number and distribution for closing example, in PET system image reconstruction, random coincidence example is mainly detained by way of statistics subduction
It removes, the statistical error in random coincidence example can be also transmitted in the image after amendment by this.
Summary of the invention
In view of the deficiencies of the prior art, the present invention provides a kind of simple flows, and reduce error uses example mixing method
Meet example immediately to construct in PET system.
To achieve the above object, the present invention provides the following technical scheme that using example mixing method building PET system with
Machine meets the method for example, includes the following:
(1) obtain that PET system is collected meets example immediately；
(2) counting rate of each crystal or counting in random coincidence example are counted；
(3) it will acquire crystal count to be distributed and normalize；
(4) selection a pair meets example and N and meets example to other；
(5) two pairs of selection are met that example or N meet γ photon 1 in example to other and γ photon 2 carries out two-by-two
Combination, forms new four pairs or 2N to random coincidence example；
(6) four LOR or 2N LOR are combined into random coincidence example by new four pairs or 2N；
(7) judge whether LOR is eligible, by the removal of LOR except the visual field；
(8) the random coincidence example generating probability newly formed is calculated, according to formulaIt calculates, wherein
Ncounts2For the γ photon that comes in self-loopa two corresponding crystal positions counting rate；
(9) LOR is saved according to weight value；
(10) data storage for sinogram or is met into data.
The value size of the further N value determines to generate the method multiple of random coincidence example.
In conclusion the present invention extracts in existing any two random coincidence example, a pair of of γ photon by this
γ photon is freely combined, to generate any more random coincidence example, supplements the random coincidence example of single acquisition, and will
Example removal is not met in combining random within the vision.The system of random coincidence example is generated by using the method for this patent
It counts sufficiently high, the statistical error in random coincidence example is reduced to negligible degree, therefore drop can be skipped and adopted
Sample, smoothly and the processes such as reverse interpolation, to reduce image reconstruction times.
Detailed description of the invention
Fig. 1 is the flow chart of the method for the random coincidence example that the present invention constructs PET system using example mixing method.
Specific embodiment
Referring to Fig.1 to the present invention using the embodiment of the method for the random coincidence example of example mixing method building PET system
It is described further.
It include the following: to obtain PET system to adopt using the method for the random coincidence example of example mixing method building PET system
What is collected meets example immediately；Count the counting rate of each crystal or counting in random coincidence example；It will acquire crystal count
It is distributed and normalizes；Selection a pair meets example and N and meets example to other；Meet example or N to other for two pairs of selection
The γ photon 1 and γ photon 2 met in example carries out combination of two, forms new four pairs or 2N to random coincidence example；It will be new
Four pairs or 2N four LOR or 2N LOR are combined into random coincidence example；Judge whether LOR is eligible, except the visual field
The removal of LOR；The random coincidence example generating probability newly formed is calculated, according to formulaIt calculates, wherein
Ncounts2For the γ photon that comes in self-loopa two corresponding crystal positions counting rate；LOR is saved according to weight value；It will count
According to being stored as sinogram or meet data.
The present invention extracts in existing any two random coincidence example, a pair of of γ photon, by this pair of γ photon
Independent assortment supplements the random coincidence example of single acquisition, and will be not in the visual field to generate any more random coincidence example
Removal in range saves obtained LOR according to the weight value being calculated, will save obtained data storage at
Sinogram meets datagram, and the statistics for generating random coincidence example by using the method for this patent is sufficiently high, will be random
Meet the statistical error in example and be reduced to negligible degree, thus can skip it is down-sampled, smoothly, and reversed
The processes such as interpolation simplify random coincidence example and correct process, save image reconstruction times.
The value size of heretofore described N value determines to generate the method multiple of random coincidence example.
The above is only a preferred embodiment of the present invention, protection scope of the present invention is not limited merely to above-mentioned implementation
Example, all technical solutions belonged under thinking of the present invention all belong to the scope of protection of the present invention.It should be pointed out that for the art
Those of ordinary skill for, several improvements and modifications without departing from the principles of the present invention, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (2)
1. the method for the random coincidence example using example mixing method building PET system, which is characterized in that include the following:
(1) obtain that PET system is collected meets example immediately；
(2) counting rate of each crystal or counting in random coincidence example are counted；
(3) it will acquire crystal count to be distributed and normalize；
(4) selection a pair meets example and N and meets example to other；
(5) two pairs of selection are met that example or N meet γ photon 1 in example to other and γ photon 2 carries out combination of two,
New four pairs or 2N are formed to random coincidence example；
(6) four LOR or 2N LOR are combined into random coincidence example by new four pairs or 2N；
(7) judge whether LOR is eligible, by the removal of LOR except the visual field；
(8) the random coincidence example generating probability newly formed is calculated, according to formulaIt calculates, wherein Ncounts2
For the γ photon that comes in self-loopa two corresponding crystal positions counting rate；
(9) LOR is saved according to weight value；
(10) data storage for sinogram or is met into data.
2. the method for the random coincidence example according to claim 1 using example mixing method building PET system, feature
It is, the value size of the N value determines to generate the method multiple of random coincidence example.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811416449.0A CN109567845B (en) | 2018-11-26 | 2018-11-26 | Method for constructing random coincidence cases of PET system by case mixing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811416449.0A CN109567845B (en) | 2018-11-26 | 2018-11-26 | Method for constructing random coincidence cases of PET system by case mixing method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109567845A true CN109567845A (en) | 2019-04-05 |
| CN109567845B CN109567845B (en) | 2022-04-22 |
Family
ID=65924461
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811416449.0A Active CN109567845B (en) | 2018-11-26 | 2018-11-26 | Method for constructing random coincidence cases of PET system by case mixing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109567845B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA1149972A (en) * | 1979-10-18 | 1983-07-12 | Michael E. Phelps | Emission tomography system |
| CN102047143A (en) * | 2008-05-28 | 2011-05-04 | 皇家飞利浦电子股份有限公司 | Geometrical transformations preserving list-mode format |
| US20140039831A1 (en) * | 2012-07-31 | 2014-02-06 | National Tsing Hua University | System for Reusing Triple Event Data in PET and Method, Program Product Thereof |
| CN104036137A (en) * | 2014-06-11 | 2014-09-10 | 沈阳东软医疗系统有限公司 | Random coincidence event removing method and device |
| CN104331596A (en) * | 2014-09-25 | 2015-02-04 | 沈阳东软医疗系统有限公司 | Hardware-based multi-coincidence event screening method and hardware-based multi-coincidence event screening system |
| CN108615250A (en) * | 2018-05-31 | 2018-10-02 | 上海联影医疗科技有限公司 | Image rebuilding method, device, system and computer readable storage medium |
-
2018
- 2018-11-26 CN CN201811416449.0A patent/CN109567845B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA1149972A (en) * | 1979-10-18 | 1983-07-12 | Michael E. Phelps | Emission tomography system |
| CN102047143A (en) * | 2008-05-28 | 2011-05-04 | 皇家飞利浦电子股份有限公司 | Geometrical transformations preserving list-mode format |
| US20140039831A1 (en) * | 2012-07-31 | 2014-02-06 | National Tsing Hua University | System for Reusing Triple Event Data in PET and Method, Program Product Thereof |
| CN104036137A (en) * | 2014-06-11 | 2014-09-10 | 沈阳东软医疗系统有限公司 | Random coincidence event removing method and device |
| CN104331596A (en) * | 2014-09-25 | 2015-02-04 | 沈阳东软医疗系统有限公司 | Hardware-based multi-coincidence event screening method and hardware-based multi-coincidence event screening system |
| CN108615250A (en) * | 2018-05-31 | 2018-10-02 | 上海联影医疗科技有限公司 | Image rebuilding method, device, system and computer readable storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 金永杰主编: "《核医学仪器与方法》", 31 January 2010 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109567845B (en) | 2022-04-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Tarantola et al. | PET instrumentation and reconstruction algorithms in whole-body applications | |
| Vaquero et al. | Positron emission tomography: current challenges and opportunities for technological advances in clinical and preclinical imaging systems | |
| Carlier et al. | 90Y‐PET imaging: exploring limitations and accuracy under conditions of low counts and high random fraction | |
| Karp et al. | Benefit of time-of-flight in PET: experimental and clinical results | |
| US10754048B2 (en) | Correcting count loss in pet system | |
| WO2018129891A1 (en) | Stacked autoencoder-based mixed tracer agent dynamic pet concentration distribution image reconstruction method | |
| Lecomte | Technology challenges in small animal PET imaging | |
| WO2005114044A2 (en) | Nearest-neighbor rebinning in clinical pet using on-line three-dimensional lor-to-bin mapping | |
| CN109009199A (en) | System and method for the image real time transfer in positron emission computerized tomography | |
| US20110112856A1 (en) | Medical imaging procedures and method and system for managing medical imaging procedures | |
| Lee et al. | Single-cell tracking with PET using a novel trajectory reconstruction algorithm | |
| CN103547942B (en) | Chance event reduces method and chance event reduces device | |
| US9962136B2 (en) | Reconstructing time-varying position of individual radioactive cells directly from positron emission tomography (PET) measurements | |
| Songy et al. | Low-dose thallium-201 protocol with a cadmium–zinc–telluride cardiac camera | |
| Hori et al. | Validity of using a 3-dimensional PET scanner during inhalation of 15O-labeled oxygen for quantitative assessment of regional metabolic rate of oxygen in man | |
| US7409077B2 (en) | Nearest-neighbor rebinning in clinical PET using on-line three dimensional LOR-to-bin mapping | |
| Alqahtani et al. | Optimization of 99mTc whole‐body SPECT/CT image quality: A phantom study | |
| Jasczak | Tomographic radiopharmaceutical imaging | |
| Shi et al. | DH-Mammo PET: a dual-head positron emission mammography system for breast imaging | |
| CN109567845A (en) | Using the method for the random coincidence example of example mixing method building PET system | |
| Shcherbinin et al. | Three-dimensional personalized dosimetry for 188Re liver selective internal radiation therapy based on quantitative post-treatment SPECT studies | |
| Sitek et al. | Reconstruction of dual isotope PET using expectation maximization (EM) algorithm | |
| Mattsson et al. | Radioactive iodine in thyroid medicine-How it started in Sweden and some of today's challenges | |
| Townsend | PET with the HIDAC camera? | |
| Erwin et al. | Qualitative and quantitative comparison of gated blood pool single photon emission computed tomography using low-energy high-resolution and SMARTZOOM collimation |
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 |