Iterative reconstruction of a region of interest for transmission tomography

被引：2

作者：

Ziegler, Andy ^{[1
]}

Nielsen, Tim ^{[1
]}

Grass, Michael ^{[1
]}

机构：

[1] Philips Res, Sector Tech Syst, D-22335 Hamburg, Germany

来源：

MEDICAL IMAGING 2006: PHYSICS OF MEDICAL IMAGING, PTS 1-3 | 2006年 / 6142卷

关键词：

CT; Maximum Likelihood; iterative; cone-beam reconstruction; region of interest;

D O I：

10.1117/12.650666

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Images reconstructed for transmission tomography with iterative Ordered Subsets Maximum Likelihood (OSML) algorithms have a higher signal-to-noise ratio than images reconstructed with filtered back-projection type algorithms. However, a drawback of OSML reconstruction is the requirement that a field-of-view (FOV) has to be reconstructed that covers the whole volume, which contributed to the absorption. In the case of a high resolution reconstruction, this demands a huge number of voxels. This paper presents a solution, how an iterative OSML reconstruction can be limited to a region of interest without loosing the advantages of a OSML reconstruction. Compared with a full FOV OSML reconstruction, the reconstruction speed mainly increases by the number of voxels, which are saved. In addition, less iterations are needed to achieve the same result.

引用

页数：12

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