US 12,257,094 B2
Method for obtaining brain perfusion parameter maps through computed tomography perfusion imaging and its system
Xin Liu, Zhejiang (CN); Jingsong He, Zhejiang (CN); Wenfei Shi, Zhejiang (CN); Xiaochang Leng, Zhejiang (CN); and Jianping Xiang, Zhejiang (CN)
Assigned to ArteryFlow Technology Co., Ltd., Hangzhou (CN)
Filed by ArteryFlow Technology Co., Ltd., Zhejiang (CN)
Filed on Aug. 19, 2022, as Appl. No. 17/891,864.
Claims priority of application No. 202110962392.X (CN), filed on Aug. 20, 2021.
Prior Publication US 2023/0054153 A1, Feb. 23, 2023
Int. Cl. A61B 6/50 (2024.01); A61B 6/00 (2006.01)
CPC A61B 6/507 (2013.01) [A61B 6/481 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method for obtaining the CT perfusion imaging parameter maps of brain, comprising:
obtaining CT perfusion images, performing pre-processing on the CT perfusion images, and obtaining a discrete contrast agent concentration curve C(n) of each pixel point in the brain tissue, where n is the nth time point, and each element in C(n) is contrast agent concentration in the tissue corresponding to one time point;
reading acquisition time information of the CT perfusion images, and obtaining an acquisition time arrays T(n), where n is the nth time point, T(n) is physical time of image acquisition device when the nth image was collected, T(n) include Tc (n) corresponding to discrete contrast agent concentration curve C(n), and Tc (n) is a subset of T(n);
the acquisition time array T(n) are converted into the time value measured in seconds, according to the format of the acquisition time in the CT perfusion images; and finding the minimum value Tmin in all the acquisition time array T(n); Subtracting Tmin from each element in the acquisition time array T(n) of each pixel point to obtain the relative acquisition time array t(n) of each pixel point start from the time Tmin, where t(n) include tc(n) corresponding to discrete contrast agent concentration curve C(n), and tc(n) is a subset of t(n);
combining the discrete contrast agent concentration curve C(n) with the corresponding relative acquisition time array t(n) to obtain the discrete time-concentration curve C(tn) of each pixel point in the brain tissue;
after fitting or interpolating the discrete time-concentration curve C(tn) of each pixel point, re-discretizing at same time interval to obtain the discrete time-concentration curve C(n)′ of each pixel point in brain tissue, obtaining the CT perfusion imaging parameter maps of brain according to the time-concentration curve C(n)′.