Limited view PET reconstruction of tissue radioactivity maps

被引：3
|
作者：
Shen, Yunxia [1 ]
Liu, Huafeng [1 ]
Shi, Pengcheng [2 ]
机构：
[1] Zhejiang Univ, State Key Lab Modern Opt Instrumentat, Hangzhou 310027, Peoples R China
[2] Rochester Inst Technol, B Thomas Golisano Coll Comp & Informat Sci, Rochester, NY 14623 USA
来源：
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 2010年 / 34卷 / 02期
关键词：
State space; Limited view; Prior knowledge; Compartmental model; Kalman; POSITRON-EMISSION-TOMOGRAPHY; INPUT FUNCTION;
D O I：
10.1016/j.compmedimag.2009.07.009
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码：142 / 148
页数：7
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