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功能和形态断层图像的三维对齐

Three-dimensional alignment of functional and morphological tomograms.

作者信息

Pietrzyk U, Herholz K, Heiss W D

机构信息

Max-Planck-Institut für Neurologische Forschung, Köln F.R.G.

出版信息

J Comput Assist Tomogr. 1990 Jan-Feb;14(1):51-9.

PMID:2298997
Abstract

A method has been developed to create corresponding brain slices from morphological [CT, magnetic resonance (MR)] and functional [positron emission tomography (PET), single photon emission computed tomography] tomographic studies in individual patients. It does not require special headholders or definition of specific landmarks and is fully retrospective. Three-dimensional image registration in corresponding orientation is achieved by linear interpolation of original slices and a variety of interactively controlled video display options. These include simultaneous display of multiple slices and brain cuts in all three dimensions for comparison of positioning. Brain contours in one imaging modality may be enhanced by appropriate filtering and superimposed onto reference images of another modality. Matching accuracy depends on image resolution; misalignment of 4 mm was detected unambiguously in sample studies (fluoro-2-deoxy-D-glucose PET matched with MR). The technique is equally well applicable to normals and to patients with structural brain lesions. Additional options for shaded surface display enhance the power to identify neuroanatomical structures in functional image analysis. As demonstrated in the example of MR-guided PET, this modeling procedure can be successfully used for identification of brain structures on functional images, even in patients with pathologically altered brain morphology.

摘要

已开发出一种方法,可根据个体患者的形态学[CT、磁共振(MR)]和功能[正电子发射断层扫描(PET)、单光子发射计算机断层扫描]断层扫描研究创建相应的脑切片。该方法不需要特殊的头部固定器或特定标志的定义,并且完全是回顾性的。通过对原始切片进行线性插值以及各种交互式控制的视频显示选项,实现相应方向上的三维图像配准。这些选项包括同时显示所有三个维度的多个切片和脑切面,以便比较定位。一种成像模态中的脑轮廓可通过适当的滤波增强,并叠加到另一种模态的参考图像上。匹配精度取决于图像分辨率;在样本研究(氟代-2-脱氧-D-葡萄糖PET与MR匹配)中明确检测到4毫米的错位。该技术同样适用于正常人以及有脑结构病变的患者。用于阴影表面显示的其他选项增强了在功能图像分析中识别神经解剖结构的能力。如在MR引导的PET示例中所示,即使在脑形态发生病理改变的患者中,这种建模程序也可成功用于在功能图像上识别脑结构。

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