Methods and systems for emission computed tomography image reconstruction
US-10360724-B2 · Jul 23, 2019 · US
US10535166B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10535166-B2 |
| Application number | US-201615323077-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 29, 2016 |
| Priority date | Feb 29, 2016 |
| Publication date | Jan 14, 2020 |
| Grant date | Jan 14, 2020 |
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The present disclosure provides a system and method for PET image reconstruction. The method may include processes for obtaining physiological information and/or rigid motion information. The image reconstruction may be performed based on the physiological information and/or rigid motion information.
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What is claimed is: 1. A method implemented on at least one machine each of which has at least one processor and storage, the method comprising: receiving emission computed tomography (ECT) data relating to a subject; determining a characteristic volume of interest (VOI) of the ECT data by selecting a time of flight (TOF) probability distribution, wherein the characteristic VOI is defined by at least one parameter including a shape, a position, or a volume of the characteristic VOI; obtaining by designating a signal quality indicator (SQI) of a physical motion, based on the characteristic VOI, a physical motion curve relating to the physical motion; gating the ECT data based on the physical motion curve, wherein the ECT data is corrected based on a rigid motion curve; and reconstructing an image based on the gated ECT data. 2. The method of claim 1 , the determining a characteristic VOI comprising: maximizing the SQI of the physical motion, the maximized SQI corresponding to the characteristic VOI. 3. The method of claim 1 , the obtaining a physical motion curve comprising: selecting a physiological spectrum for a physiological motion. 4. The method of claim 3 , the physiological spectrum comprising frequency range of a respiratory signal. 5. The method of claim 3 , the physiological spectrum comprising frequency range of a cardiac signal. 6. The method of claim 1 , the obtaining a physical motion curve comprising: determining movement of center of mass of the characteristic VOI with respect to time. 7. The method of claim 1 , wherein the characteristic VOI has a shape of at least one of a sphere, a cuboid, or a block. 8. The method of claim 1 , wherein the characteristic VOI has a shape of the sphere, and the sphere is identified by coordinates of a sphere center and a radius of the sphere. 9. The method of claim 1 , wherein the characteristic VOI has a shape of the block, and the block is identified by coordinates of the center of the block, and a length, a width, and a height of the block. 10. A system, comprising: one or more storage devices comprising a set of instructions; and one or more processors configured to communicate with the one or more storage devices, wherein when executing the set of instructions, the one or more processors are configured to cause the system to: receive emission computed tomography (ECT) data relating to a subject; determine a characteristic volume of interest (VOI) of the ECT data by selecting a time of flight (TOF) probability distribution, wherein the characteristic VOI is defined by at least one parameter including a shape, a position, or a volume of the characteristic VOI; obtain by designating a signal quality indicator (SQI) of a physical motion, based on the characteristic VOI, a physical motion curve relating to the physical motion; and gate the ECT data based on the physical motion curve to screen out motion related data, wherein the ECT data is corrected based on a rigid motion curve. 11. The system of claim 10 , wherein to determine the characteristic VOI, the one or more processors are configured to cause the system to: maximize the SQI of the physical motion, the maximized SQI corresponding to the characteristic VOI. 12. The system of claim 10 , wherein to obtain a physical motion curve, the one or more processors are configured to cause the system to: determining movement of center of mass of the characteristic VOI with respect to time.
Preprocessing · CPC title
by analysing the shape of a waveform, e.g. extracting parameters relating to peaks · CPC title
Image preprocessing, e.g. calibration, positioning of sources or scatter correction · CPC title
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Inverse problem, i.e. transformations from projection space into object space · CPC title
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