MRI-PET CORRELATION IN 3 DIMENSIONS USING A VOLUME-OF-INTEREST (VOI) ATLAS
MRI-PET CORRELATION IN 3 DIMENSIONS USING A VOLUME-OF-INTEREST (VOI) ATLAS
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DOI：
10.1038/jcbfm.1991.40
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发表时间：
1991-03-01
影响因子：
6.3
通讯作者：
COLLINS, L
中科院分区：
文献类型：
--
作者：
EVANS, AC;MARRETT, S;COLLINS, L
功能图像（PET或SPECT）的定量解释受到空间分辨率差、计数统计量低以及许多示踪剂的不同感兴趣脑结构之间对比度低的阻碍。 此外，正常示踪剂分布可被诸如中风、肿瘤和痴呆的大体病理严重破坏。 因此，CT或MRI提供的互补解剖信息对于功能数据的准确和可再现的区域分析至关重要。 我们已经开发出了同时三维显示和分析的图像体积从MRI和PET的方法。 一个通用的算法，用于定义两个等效点集合之间的仿射变换已被改编为通过一个简单的基准安排的目的，登记MRI和PET图像体积。 此外，我们还将以前基于MRI的计算机化图谱方法扩展到三维。 原生寰椎平面以2 mm的间隔间隔，充分的轴向采样以允许通过寰椎空间生成倾斜平面切片。 这将允许在二维感兴趣区域（ROI）模板中有无限数量的成角和轴向偏移，所有这些都源自相同的主三维感兴趣体积（VOI）图谱，因此始终保持地形一致性。 可以选择这些ROI模板以匹配用于常规二维分割和数据提取的图像取向。
Quantitative interpretation of functional images (PET or SPECT) is hampered by poor spatial resolution, low counting statistics, and, for many tracers, low contrast between different brain structures of interest. Furthermore, normal tracer distributions can be severely disrupted by such gross pathologies as stroke, tumor, and dementia. Hence, the complementary anatomical information provided by CT or MRI is essential for accurate and reproductible regional analysis of functional data. We have developed methods for the simultaneous three-dimensional display and analysis of image volumes from MRI and PET. A general algorithm for defining the affine transformation between two equivalent point ensembles has been adapted for the purpose of registering MRI and PET image volumes by means of a simple fiducial arrangement. In addition, we have extended previous MRI-based computerized atlas methodology to three dimensions. The native atlas planes were spaced at 2 mm intervals, sufficient axial sampling to permit the generation of oblique planar sections through the atlas space. This will allow for an infinite number of angulations and axial off-sets in two-dimensional region-of-interest (ROI) templates, all derived from the same master three-dimensional volume-of-interest (VOI) atlas and therefore maintaining topographical consistency throughout. These ROI templates may be selected to match the image orientation for conventional two-dimensional segmentation and data extraction.