Analytic TOF PET reconstruction algorithm within DIRECT data partitioning framework

被引:17
作者
Matej, Samuel [1 ]
Daube-Witherspoon, Margaret E. [1 ]
Karp, Joel S. [1 ]
机构
[1] Univ Penn, Dept Radiol, Philadelphia, PA 19104 USA
基金
美国国家卫生研究院;
关键词
positron emission tomography (PET); time-of-flight (TOF); tomographic image reconstruction; analytic algorithm; histo-image data partitioning; TIME-OF-FLIGHT; RESOLUTION RESEARCH TOMOGRAPH; IMAGE-RECONSTRUCTION; EMISSION-TOMOGRAPHY; ITERATIVE RECONSTRUCTION; LESION DETECTION; IMPACT; NOISE; VARIANCE; ACCURACY;
D O I
10.1088/0031-9155/61/9/3365
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Iterative reconstruction algorithms are routinely used for clinical practice; however, analytic algorithms are relevant candidates for quantitative research studies due to their linear behavior. While iterative algorithms also benefit from the inclusion of accurate data and noise models the widespread use of time-of-flight (TOF) scanners with less sensitivity to noise and data imperfections make analytic algorithms even more promising. In our previous work we have developed a novel iterative reconstruction approach (DIRECT: direct image reconstruction for TOF) providing convenient TOF data partitioning framework and leading to very efficient reconstructions. In this work we have expanded DIRECT to include an analytic TOF algorithm with confidence weighting incorporating models of both TOF and spatial resolution kernels. Feasibility studies using simulated and measured data demonstrate that analytic-DIRECT with appropriate resolution and regularization filters is able to provide matched bias versus variance performance to iterative TOF reconstruction with a matched resolution model.
引用
收藏
页码:3365 / 3386
页数:22
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