Combination of Wiener filtering and singular value decomposition filtering for volume imaging PET
Combination of Wiener filtering and singular value decomposition filtering for volume imaging PET
复制标题
维纳滤波与奇异值分解滤波相结合用于体积成像 PET
DOI：
10.1109/nssmic.1994.474757
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发表时间：
1994
期刊：
影响因子：
--
通讯作者：
G. Muehllehner
中科院分区：
文献类型：
--
作者：
L. Shao;R. Lewitt;J. Karp;G. Muehllehner
尽管PET中的三维多层重建（MSRB）算法快速实用，且能提供接近三维重投影算法的图像质量，但由于其轴向奇异值分解（SVD）滤波技术，MSRB图像普遍存在噪声放大的问题。本研究的目的是将维纳滤波（WF）与奇异值分解（SVD）相结合，以降低噪声，提高图像质量。由于SVD滤波可以对空间变化的响应函数进行“反卷积”，而WF可以抑制噪声，减少轴向SVD滤波器无法模拟的物理过程造成的模糊，因此这两种技术的综合结合了两种滤波器的优点。作者将该方法应用于轴向范围为256 mm的头颅PENN-PET脑扫描仪的体积成像。从EWHM、图像对比度、信噪比等方面对该组合滤波器进行了评价。有几个幻影，如冷球和3D脑幻影。具体来说，作者研究了轴向维纳滤波的SVD滤波和三维维纳滤波的SVD滤波，并将滤波后的图像与3D重建投影（3DRP）算法的图像进行了比较。结果表明，维纳滤波器不仅提高了信噪比，而且提高了对比度。对于3D脑幻影，灰/白比和脑室/灰比分别从1.8提高到2.8和0.47提高到0.25。总体性能接近3DRP算法
Although the 3D multi-slice rebinning (MSRB) algorithm in PET is fast and practical, and provides image quality close to that of a 3D reprojection algorithm, the MSRB image, in general, suffers from the noise amplified by its singular value decomposition (SVD) filtering technique in the axial direction. The authors' aim in this study is to combine the use of the Wiener filter (WF) with the SVD to decrease the noise and improve the image quality. Since the SVD filtering can "deconvolve" the spatially variant response function while the WF can suppress the noise and reduce the blurring caused by the physical processes not modeled by the axial SVD filter, the synthesis of these two techniques combine the advantages of both filters. The authors applied this approach to the volume imaging HEAD PENN-PET brain scanner with an axial extent of 256 mm. This combined filter was evaluated in terms of EWHM, image contrast, signal-to-noise, etc. With several phantoms, such as cold sphere and 3D brain phantoms. Specifically, the authors studied both the SVD filter with an axial Wiener filter and the SVD filter with a 3D Wiener filter, and compared the filtered images to those from the 3D reconstruction projection (3DRP) algorithm. The authors' results indicated that the Wiener filter not only increases the signal/noise ratio but also improves the contrast. For the 3D brain phantom both the gray/white and ventricle/gray ratios were improved from 1.8 to 2.8 and 0.47 to 0.25, respectively. The overall performance is close to that of the 3DRP algorithm.<<ETX>>
DOI：
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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
DOI：
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发表时间：
1987-11
期刊：
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
影响因子：
--
作者：
M. Daube-Witherspoon;G. Muehllehner
通讯作者：
M. Daube-Witherspoon;G. Muehllehner
影响因子：
3.5
作者：
LOO, LND;DOI, K;METZ, CE
通讯作者：
METZ, CE