List-mode image reconstruction for real-time PET imaging

被引：3

作者：

Selivanov, Vitali V.

Lepage, Martin D.

Lecomte, Roger ^{[1
]}

机构：

[1] Univ Sherbrooke, Etienne LeBel Clin Res Ctr, Sherbrooke Mol Imaging Ctr, Sherbrooke, PQ J1H 5N4, Canada

[2] Adv Mol Imaging Inc, Sherbrooke, PQ J1J 2E8, Canada

来源：

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION | 2006年 / 17卷 / 03期

基金：

加拿大自然科学与工程研究理事会; 加拿大健康研究院;

关键词：

positron emission tomography; tomographic reconstruction; list mode; iterative algorithms; regularized pseudo-inverse matrix; truncated singular value decomposition;

D O I：

10.1016/j.jvcir.2006.02.004

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The problem of tomographic image reconstruction from measured projection data can be reduced to solving a set of linear equations represented in matrix form. In this paper, we show how image reconstruction in positron emission tomography (PET) can be achieved potentially in real-time using a regularized pseudo-inverse of the system matrix. An update of the current image estimate accounting for the next registered event can be obtained using a single column of the regularized pseudo-inverse matrix, thus allowing for instant visualization of the radioactivity distribution while the subject is still being scanned. The computed image estimate is the minimum-norm least-squares solution of the regularized inverse problem. The speed and performance of the algorithm were characterized and compared to those of a well-known statistical iterative algorithm. The proposed algorithm was validated with experimental list-mode PET data. (C) 2006 Published by Elsevier Inc.

引用

页码：630 / 646

页数：17

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