US 11,887,221 B2
Systems and methods for image correction in positron emission tomography
Yang Zhang, Shanghai (CN); Yang Lyu, Shanghai (CN); and Chen Xi, Shanghai (CN)
Assigned to SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD., Shanghai (CN)
Filed by SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD., Shanghai (CN)
Filed on Nov. 14, 2022, as Appl. No. 18/054,922.
Application 18/054,922 is a continuation of application No. 16/728,081, filed on Dec. 27, 2019, granted, now 11,501,473.
Claims priority of application No. 201811630048.5 (CN), filed on Dec. 28, 2018.
Prior Publication US 2023/0071607 A1, Mar. 9, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 11/00 (2006.01); G06N 3/08 (2023.01)
CPC G06T 11/005 (2013.01) [G06N 3/08 (2013.01); G06T 2211/428 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for image correction in positron emission tomography (PET), comprising:
at least one storage device including a set of instructions; and
at least one processor configured to communicate with the at least one storage device, wherein when executing the set of instructions, the at least one processor is configured to direct the system to perform operations including:
acquiring a PET image and a computed tomography (CT) image of a subject;
generating a concatenated image based on the PET image and the CT image; and
generating, based on the concatenated image, an attenuation-corrected PET image of the subject by application of an attenuation correction model, wherein the attenuation correction model is a trained machine learning model.