Special Papers Section-NPSS/Medical Imaging Conference Cross-Plane Scattering Correction-Point Source Deconvolution in PET
Special Papers Section-NPSS/Medical Imaging Conference Cross-Plane Scattering Correction-Point Source Deconvolution in PET
复制标题
专题论文部分-NPSS/医学影像会议跨平面散射校正-PET中的点源反卷积
DOI：
10.1109/42.97570
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发表时间：
1991
期刊：
影响因子：
--
通讯作者：
J. Karp
中科院分区：
文献类型：
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作者：
L. Shao;J. Karp
大多数以前的PET散射校正技术是基于一个单一的transaxial平面的假设，是独立的轴向变化。这些技术将不正确地估计体积PET成像系统的散射分数，因为它们没有考虑交叉平面散射。提出了一种新的点源散射反褶积方法（二维）。通过对散射点源函数进行建模，将跨平面散射纳入算法中。在该模型中，散射对轴向和横轴向的依赖性反映在指数拟合参数中，这些参数直接由有限数量的测量点响应函数估计。将标准面内线源反褶积与跨面点源反褶积进行比较的结果表明，对于小源，前者高估了源平面内的散射分数，而低估了相邻平面内的散射分数。此外，我们还提出了一个简单的近似技术的反褶积。
Most previous scattering correction techniques for PET are based on assumptions made for a single transaxial plane and are independent of axial variations. These techniques will incorrectly estimate the scattering fraction for volumetric PET imaging systems since they do not take the cross-plane scattering into account. We propose a new point source scattering deconvolution method (2-D). The cross-plane scattering is incorporated into the algorithm by modelling a scattering point source function. In the model, the scattering dependence both on axial and transaxial directions is reflected in the exponential fitting pa- rameters and these parameters are directly estimated from a limited number of measured point response functions. Our re- sults comparing the standard in-plane line source deconvolu- tion to our cross-plane point source deconvolution show that for a small source, the former technique overestimates the scat- ter fraction in the plane of the source and underestimates the scatter fraction in adjacent planes. In addition, we also propose a simple approximation technique for deconvolution.
DOI：
--
发表时间：
1990-05
期刊：
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
影响因子：
--
作者：
Joel S. Karp;G. Muehllehner;D. Mankoff;Caesar E. Ordonez;John M. Ollinger;M. Daube-Witherspoon;Arthur T. Haigh;D. Beerbohm
通讯作者：
Joel S. Karp;G. Muehllehner;D. Mankoff;Caesar E. Ordonez;John M. Ollinger;M. Daube-Witherspoon;Arthur T. Haigh;D. Beerbohm