US 11,727,610 B2
System and method for image processing
Xiaoyue Gu, Shanghai (CN); Tianyi Xu, Shanghai (CN); Youjun Sun, Shanghai (CN); and Weiping Liu, Shanghai (CN)
Assigned to SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD., Shanghai (CN)
Filed by SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD., Shanghai (CN)
Filed on Jan. 26, 2021, as Appl. No. 17/159,101.
Application 17/159,101 is a continuation of application No. 15/952,187, filed on Apr. 12, 2018, granted, now 10,909,731.
Claims priority of application No. 201710277460.2 (CN), filed on Apr. 25, 2017.
Prior Publication US 2021/0150785 A1, May 20, 2021
Int. Cl. G06K 9/00 (2022.01); G06T 11/00 (2006.01); G06T 7/11 (2017.01); G06T 5/50 (2006.01); G06T 7/32 (2017.01)
CPC G06T 11/008 (2013.01) [G06T 5/50 (2013.01); G06T 7/11 (2017.01); G06T 7/32 (2017.01); G06T 11/005 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/30008 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method implemented on a computing machine having at least one processor and at least one storage device, the method comprising:
obtaining a PET image generated based on PET image data of a first part of a subject, the PET image including PET voxel data, and the first part of the subject including a second part and a third part;
obtaining a CT image of the second part generated based on CT image data of the second part, the CT image of the second part including multiple CT voxels;
determining a relationship between the CT image of the second part and PET voxel data of the second part, wherein the relationship is related to a correspondence between CT values of pixels or voxels of the CT image and PET gray values of corresponding pixels or voxels of the PET image;
segmenting PET image of the third part into an osseous tissue region and a non-osseous tissue region;
obtaining PET voxel data of the osseous tissue region of the third part and PET voxel data of the non-osseous tissue region of the third part;
determining CT image data of the osseous tissue region based on the relationship and the PET voxel data of the osseous tissue region, the CT image data of the osseous tissue region including CT values of the osseous tissue region;
determining CT image data of the non-osseous tissue region based on the relationship and the PET voxel data of the non-osseous tissue region, the CT image data of the non-osseous tissue region including CT values of the non-osseous tissue region,
determining a first set of attenuation coefficients based on the CT image data of the osseous tissue region of the third part and a first linear conversion relation, the first linear conversion relation indicating a conversion relation between a plurality of attenuation coefficients and a plurality of CT values within in a first range that corresponds to an osseous tissue;
determining a second set of attenuation coefficients of the non-osseous tissue region of the third part based on the CT image data of the non-osseous tissue region of the third part and a second linear conversion relation, the second linear conversion relation indicating a conversion relation between a plurality of attenuation coefficients and a plurality of CT values within in a second range that corresponds to a non-osseous tissue;
determining a third set of attenuation coefficients based on the CT image data of the second part; and
determining an attenuation map based on the first set of attenuation coefficients, the second set of attenuation coefficients, and the third set of attenuation coefficients.