Fast List-Mode Reconstruction for Time-of-Flight PET Using Graphics Hardware

被引：24

作者：

Pratx, Guillem ^{[1
]}

Surti, Suleman ^{[2
]}

Levin, Craig ^{[3
,4
,5
]}

机构：

[1] Stanford Univ, Dept Radiat Oncol, Sch Med, Stanford, CA 94305 USA

[2] Univ Penn, Dept Radiol, Philadelphia, PA 19104 USA

[3] Stanford Univ, Dept Radiol, Stanford, CA 94305 USA

[4] Stanford Univ, Dept Phys, Stanford, CA 94305 USA

[5] Stanford Univ, Dept Elect Engn, Mol Imaging Program, Stanford, CA 94305 USA

来源：

IEEE TRANSACTIONS ON NUCLEAR SCIENCE | 2011年 / 58卷 / 01期

基金：

美国国家卫生研究院;

关键词：

Graphics processing units; high performance computing; positron emission tomography; reconstruction algorithms; time-of-flight; IMAGE-RECONSTRUCTION; PERFORMANCE;

D O I：

10.1109/TNS.2010.2081376

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Positron emission tomography (PET) measurements with time-of-flight (TOF) information are often very sparse. As a result, direct reconstruction from raw list-mode data is an attractive strategy for dealing with the large dimension spanned by the measurements. However, even though sparse datasets are more efficiently processed in list mode than as sinograms, list-mode reconstruction remains computationally demanding and computer clusters are typically required for reconstructing clinical PET scans with TOF information. In this work, we demonstrate that off-the-shelf graphics processing units can be used as an alternative approach to accelerate line projections with TOF kernels.

引用

页码：105 / 109

页数：5

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