US 12,020,351 B2
Method, device and equipment for reconstructing PET images
Zhanli Hu, Shenzhen (CN); Hairong Zheng, Shenzhen (CN); Dong Liang, Shenzhen (CN); Xin Liu, Shenzhen (CN); Yongfeng Yang, Shenzhen (CN); and Dongfang Gao, Shenzhen (CN)
Assigned to SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY, Shenzhen (CN)
Appl. No. 17/433,081
Filed by SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY, Shenzhen (CN)
PCT Filed Dec. 18, 2020, PCT No. PCT/CN2020/137542
§ 371(c)(1), (2) Date Aug. 23, 2021,
PCT Pub. No. WO2022/126581, PCT Pub. Date Jun. 23, 2022.
Prior Publication US 2022/0319069 A1, Oct. 6, 2022
Int. Cl. G06T 11/00 (2006.01); A61B 6/03 (2006.01); G06V 10/77 (2022.01)
CPC G06T 11/006 (2013.01) [A61B 6/037 (2013.01); G06T 11/008 (2013.01); G06V 10/7715 (2022.01); G06T 2211/40 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A method for reconstructing a Positron Emission Tomography (PET) image, comprising the steps of:
acquiring a prior image comprising an anatomical image and an autocorrelation feature image, the autocorrelation feature image being determined based on a gray-level co-occurrence matrix of the anatomical image;
acquiring a feature value of the prior image; and
reconstructing the PET image according to the feature value and an iterative algorithm;
wherein said step of reconstructing the PET image according to the feature value and the iterative algorithm comprises:
adding the feature value to an orthographic projection model of the PET image to obtain a target orthographic projection model and a target log-likelihood function corresponding to the target orthographic projection model;
obtaining an estimated value of a specified parameter in the target log-likelihood function through an iterative formula according to an expectation maximization method; and
determining the reconstructed PET image according to a target formula, the feature value, and the estimated value of the specified parameter; wherein the target formula is determined through the feature value and a pixel gray value calculation formula.