Design of a motion-compensation OSEM list-mode algorithm for resolution-recovery reconstruction for the HRRT

被引:178
作者
Carson, RE [1 ]
Barker, WC [1 ]
Liow, JS [1 ]
Johnson, CA [1 ]
机构
[1] NIH, Warren Grant Magnuson Clin Ctr, PET Dept, Bethesda, MD 20892 USA
来源
2003 IEEE NUCLEAR SCIENCE SYMPOSIUM, CONFERENCE RECORD, VOLS 1-5 | 2004年
关键词
D O I
10.1109/NSSMIC.2003.1352597
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
The HRRT PET system has the potential to produce human brain images with resolution better than 3 mm. To achieve the best possible accuracy and precision, we have designed MOLAR, a Motion-compensation OSEM List-mode Algorithm for resolution-recovery Reconstruction on a computer cluster with the following features: direct use of list mode data with dynamic motion information (Polaris); exact reprojection of each line-of-response (LOR); system matrix computed from voxel-to-LOR distances (radial and axial); spatially varying resolution model implemented for each event by selection from precomputed line spread functions based on factors including detector obliqueness, crystal layer, and block detector position; distribution of events to processors and to subsets based on order of arrival; removal of voxels and events outside a reduced field-of-view defined by the attenuation map; no pre-corrections to Poisson data, i.e., all physical effects are defined in the model; randoms estimation from singles; model-based scatter simulation incorporated into the iterations; and component-based normalization. Preliminary computation estimates suggest than reconstruction of a single frame in one hour is achievable. Careful evaluation of this system will define which factors play an important role in producing high resolution, low-noise images with quantitative accuracy.
引用
收藏
页码:3281 / 3285
页数:5
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