Exact iterative reconstruction for the interior problem.
Exact iterative reconstruction for the interior problem.
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DOI：
10.1088/0031-9155/54/19/009
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发表时间：
2009-10-07
影响因子：
3.5
通讯作者：
Gullberg GT
中科院分区：
文献类型：
--
作者：
Zeng GL;Gullberg GT
单光子发射计算机断层扫描(SPECT)有一种趋势，即小型和专用成像系统正在变得流行起来。例如，许多公司正在开发具有不同设计的小型专用心脏SPECT系统。这些专用系统的视野(FOV)比全尺寸临床系统小。因此，在这些系统中，数据截断已经成为常态，而不是例外。因此，开发基于截断数据的感兴趣区域(ROI)重建算法具有重要意义。本文就是朝着这一方向迈进的垫脚石。本文证明了在充分采样凸ROI和已知ROI内子区域内的图像值的情况下，常用的通用迭代图像重建算法能够准确地重建ROI。如果ROI包括患者身体外的一个子区域，则条件可以很容易地满足。
There is a trend in single photon emission computed tomography (SPECT) that small and dedicated imaging systems are becoming popular. For example, many companies are developing small dedicated cardiac SPECT systems with different designs. These dedicated systems have a smaller field of view (FOV) than a full-size clinical system. Thus data truncation has become the norm rather than the exception in these systems. Therefore, it is important to develop region of interest (ROI) reconstruction algorithms using truncated data. This paper is a stepping stone toward this direction. This paper shows that the common generic iterative image reconstruction algorithms are able to exactly reconstruct the ROI under the conditions that the convex ROI is fully sampled and the image value in a sub-region within the ROI is known. If the ROI includes a sub-region that is outside the patient body, then the conditions can be easily satisfied.
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影响因子：
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作者：
Ye Y;Yu H;Wang G
通讯作者：
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作者：
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通讯作者：
Kudo, Hiroyuki
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作者：
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