Limited view PET reconstruction of tissue radioactivity maps.
This paper proposes a state space method for limited view PET reconstruction. Due to the high-level of noise and data-incompletion, prior knowledge is required to guide PET recovery. The compartmental model is used as an evolution equation to regularize the dynamic reconstruction. The continuous-discrete Kalman filter is adopted to calculate the radioactivity value recursively. With tracer kinetic information as prior, the state space approach can obtain a better result compared with the MLEM algorithm. The identifiability of this method is proved by computer synthetic simulation and real phantom experiment on the Hamamatsu SHR-22000PET scanner.
Shen
Yunxia
Y
Zhejiang University, Hangzhou, China.
Liu
Huafeng
H
Shi
Pengcheng
P
D006801:Humans; D007091:Image Processing, Computer-Assisted; D049268:Positron-Emission Tomography; D011851:Radioactivity; D011856:Radiographic Image Enhancement / Q000379:methods*; D019275:Radiopharmaceuticals
D019275:Radiopharmaceuticals