System and method for reconstructing ECT image

Patent metadata

Field	Value
Publication number	US-9990718-B2
Application number	US-201715450254-A
Country	US
Kind code	B2
Filing date	Mar 6, 2017
Priority date	Feb 29, 2016
Publication date	Jun 5, 2018
Grant date	Jun 5, 2018

Abstract

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.

First claim

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:
acquiring list mode data relating to a subject;
dividing the list mode data based on time information and/or spatial information;
establishing a relationship between data-space and reconstruction space;
obtaining, based on the divided list mode data and the relationship, expectation information of rigid motion of subject without performing image reconstruction; and
determining, based on the expectation information, translation information and rotational information to detect the rigid motion of the subject.

2. The method of claim 1 , further comprising
detecting the rigid motion of the subject based on the translation information and the rotational information.

3. The method of claim 2 , wherein the detection of the rigid motion is based on a threshold.

4. The method of claim 2 , wherein the detection of the rigid motion is performed in an automatic way.

5. The method of claim 1 , the dividing the list mode data comprising
gating the list mode data based on the translation information and the rotational information.

6. The method of claim 5 , wherein the gating of the divided list mode data is based on a threshold.

7. The method of claim 1 , further comprising
correcting the divided list mode data with respect to the rigid motion of the subject.

8. The method of claim 7 , the correcting the divided list mode data comprising
performing the correcting in an in situ way.

9. 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:
acquire list mode data relating to a subject;
divide the list mode data based on time information and/or spatial information;
establish a relationship between data-space and reconstruction space;
obtain, based on the divided list mode data and the relationship, expectation information of rigid motion of subject without performing image reconstruction; and
determine, based on the expectation information, translation information and rotational information to detect the rigid motion of the subject.

10. The system of claim 9 , wherein the one or more processors are further configured to cause the system to:
detect the rigid motion of the subject based on the translation information and the rotational information.

11. The system of claim 10 , wherein the detection of the rigid motion is based on a threshold.

12. The system of claim 10 , wherein the detection of the rigid motion is performed in an automatic way.

13. The system of claim 9 , wherein to divide the list mode data, the one or more processors are configured to cause the system to:
gate the list mode data based on the translation information and the rotational information.

14. The system of claim 13 , wherein the gating of the divided list mode data is based on a threshold.

15. The system of claim 9 , wherein the one or more processors are further configured to cause the system to:
correct the divided list mode data from the rigid motion of the subject.

16. The system of claim 15 , wherein to correct the divided list mode data, the one or more processors are configured to cause the system to:
perform the correcting in an in situ way.

17. A non-transitory computer readable medium, comprising at least one set of instructions, wherein when executed by one or more processors of a computing device, the at least one set of instructions causes the computing device to perform a method, the method comprising:
acquiring list mode data relating to a subject;
dividing the list mode data based on time information and/or spatial information;
establishing a relationship between data-space and reconstruction space;
obtaining, based on the divided list mode data and the relationship, expectation information of rigid motion of subject without performing image reconstruction; and
determining, based on the expectation information, translation information and rotational information to detect the rigid motion of the subject.

18. The non-transitory computer readable medium of claim 17 , the method further comprising
detecting the rigid motion of the subject based on the translation information and the rotational information.

19. The non-transitory computer readable medium of claim 18 , wherein the detection of the rigid motion is based on a threshold.

20. The non-transitory computer readable medium of claim 18 , wherein the detection of the rigid motion is performed in an automatic way.

Assignees

• Shanghai United Imaging Healthcare Co Ltd

Inventors

• Feng Tao
• Zhu Wentao
• Li Hongdi
• Yang Defu
• Dong Yun
• Lyu Yang

Classifications

• G06F2218/02

  Preprocessing · CPC title

• G06F2218/10

  by analysing the shape of a waveform, e.g. extracting parameters relating to peaks · CPC title

• G06T12/10 Primary

  Image preprocessing, e.g. calibration, positioning of sources or scatter correction · CPC title

• G06T12/00

  Tomographic reconstruction from projections · CPC title

• G06T12/20 Primary

  Inverse problem, i.e. transformations from projection space into object space · CPC title