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弹性变形三维图谱以匹配解剖学脑图像。

Elastically deforming 3D atlas to match anatomical brain images.

作者信息

Gee J C, Reivich M, Bajcsy R

机构信息

Department of Computer and Information Science, University of Pennsylvania, Philadelphia 19104.

出版信息

J Comput Assist Tomogr. 1993 Mar-Apr;17(2):225-36. doi: 10.1097/00004728-199303000-00011.

DOI:10.1097/00004728-199303000-00011
PMID:8454749
Abstract

To evaluate our system for elastically deforming a three-dimensional atlas to match anatomical brain images, six deformed versions of an atlas were generated. The deformed atlases were created by elastically mapping an anatomical brain atlas onto different MR brain image volumes. The mapping matches the edges of the ventricles and the surface of the brain; the resultant deformations are propagated through the atlas volume, deforming the remainder of the structures in the process. The atlas was then elastically matched to its deformed versions. The accuracy of the resultant matches was evaluated by determining the correspondence of 32 cortical and subcortical structures. The system on average matched the centroid of a structure to within 1 mm of its true position and fit a structure to within 11% of its true volume. The overlap between the matched and true structures, defined by the ratio between the volume of their intersection and the volume of their union, averaged 66%. When the gray-white interface was included for matching, the mean overlap improved to 78%; each structure was matched to within 0.6 mm of its true position and fit to within 6% of its true volume. Preliminary studies were also made to determine the effect of the compliance of the atlas on the resultant match.

摘要

为了评估我们将三维图谱弹性变形以匹配解剖学脑图像的系统,生成了该图谱的六个变形版本。通过将解剖学脑图谱弹性映射到不同的磁共振脑图像体积上来创建变形图谱。这种映射使脑室边缘和脑表面相匹配;由此产生的变形通过图谱体积进行传播,在此过程中使其余结构发生变形。然后将图谱与其变形版本进行弹性匹配。通过确定32个皮质和皮质下结构的对应关系来评估所得匹配的准确性。该系统平均将一个结构的质心匹配到其真实位置的1毫米范围内,并使一个结构的拟合度达到其真实体积的11%以内。匹配结构与真实结构之间的重叠率(由它们交集的体积与并集的体积之比定义)平均为66%。当纳入灰白质界面进行匹配时,平均重叠率提高到78%;每个结构都被匹配到其真实位置的0.6毫米范围内,并拟合到其真实体积的6%以内。还进行了初步研究以确定图谱的顺应性对所得匹配的影响。

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