System and method for reconstructing ect image

Patent metadata

Field	Value
Publication number	US-2020211237-A1
Application number	US-202016740360-A
Country	US
Kind code	A1
Filing date	Jan 10, 2020
Priority date	Feb 29, 2016
Publication date	Jul 2, 2020
Grant date	—

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

1 - 8 . (canceled)

9 . A method being implemented on a computing device having at least one processor, and at least one computer-readable storage medium, comprising:
receiving a plurality of emission computed tomography (ECT) data relating to a subject; dividing the plurality of ECT data into a plurality of subsets; selecting a subset of the plurality of subset as a reference subset; transforming the reference subset into a reference representation; for each subset of the plurality of subsets except for the reference subset,
transforming the subset into a representation; and
assessing similarity between the representation and the reference representation.

10 . The method of claim 9 , the representation or the reference representation comprising an image or a histogram.

11 . The method of claim 9 , wherein the assessing similarity between the representation and the reference representation includes:
assessing the similarity based on a threshold.

12 - 30 . (canceled)

31 . The method of claim 9 , wherein the dividing the plurality of ECT data into a plurality of subsets includes:
dividing the plurality of ECT data into the plurality of subsets according to an acquisition time of the plurality of ECT data.

32 . The method of claim 31 , wherein a specific subset of the plurality of subsets corresponds to data acquired within a specific time interval of the acquisition time.

33 . The method of claim 32 , wherein the specific time interval ranges from 1 second to 10 seconds.

34 . The method of claim 9 , wherein the similarity includes at least one of shape similarity or distribution similarity.

35 . The method of claim 9 , further comprising:
determining rigid motion information based on the similarity and a threshold.

36 . The method of claim 34 , wherein the rigid motion information includes at least one of an occurrence of a rigid motion or amplitude of a rigid motion.

37 . The method of claim 36 , wherein the rigid motion includes at least one of translation or rotation.

38 . The method of claim 36 , wherein the determining rigid motion information based on the similarity and a threshold includes:
if the similarity is smaller than or equal to the threshold, determining that no rigid motion occurs; or if the similarity exceeds the threshold, determining that the rigid motion occurs.

39 . The method of claim 35 , further comprising:
gating the plurality of ECT data at least based on the rigid motion information.

40 . A system, comprising:
at least one storage device including a set of instructions; and at least one processor in communication with the at least one storage device, wherein when executing the set of instructions, the at least one processor is configured to cause the system to perform operations including:
receiving a plurality of emission computed tomography (ECT) data relating to a subject;
dividing the plurality of ECT data into a plurality of subsets;
selecting a subset of the plurality of subset as a reference subset;
transforming the reference subset into a reference representation;
for each subset of the plurality of subsets except for the reference subset,
transforming the subset into a representation; and
assessing similarity between the representation and the reference representation.

41 . The system of claim 40 , the representation or the reference representation comprising an image or a histogram.

42 . The system of claim 40 , wherein the dividing the plurality of ECT data into a plurality of subsets includes:
dividing the plurality of ECT data into the plurality of subsets according to an acquisition time of the plurality of ECT data.

43 . The system of claim 42 , wherein a specific subset of the plurality of subsets corresponds to data acquired within a specific time interval of the acquisition time.

44 . The system of claim 43 , wherein the specific time interval ranges from 1 second to 10 seconds.

45 . The system of claim 40 , further comprising:
determining rigid motion information based on the similarity and a threshold.

46 . The system of claim 45 , wherein the rigid motion information includes at least one of an occurrence of a rigid motion or amplitude of a rigid motion.

47 . The system of claim 46 , wherein the determining rigid motion information based on the similarity and a threshold includes:
if the similarity is smaller than or equal to the threshold, determining that no rigid motion occurs; or if the similarity exceeds the threshold, determining that the rigid motion occurs.

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

• 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

• G06F2218/10

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