Description of brain internal structures by means of spatial relations for MR image segmentation
Description of brain internal structures by means of spatial relations for MR image segmentation
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通过磁共振图像分割的空间关系描述大脑内部结构
DOI：
10.1117/12.535216
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
I. Bloch
中科院分区：
文献类型：
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作者：
O. Colliot;O. Camara;Remi Dewynter;I. Bloch
提出了一种磁共振图像中脑内部结构的分割方法。它通过模糊集框架中表示的空间关系来描述结构的空间排列，以一种原始的方式引入先验信息。该方法是分层的，因为给定结构的分割是基于先前分割的结构。每个结构的处理被分解为两个阶段：一个是广泛使用先验知识的初始化阶段，一个是使用三维可变形模型的细化阶段。该可变形模型由一个外力引导，该外力表示由边缘映射导出的经典数据项和对应于给定空间关系的力的组合。我们提出了从表示关系或关系组合的模糊集计算力的不同方法。侧脑室、第三脑室、尾状核和丘脑的结果很有希望。将空间关系与可变形模型相结合的方法对不存在可见边缘的结构部分进行分割，提高了分割精度。
This paper presents a method for segmenting internal brain structures in MR images. It introduces prior information in an original way through descriptions of the spatial arrangement of structures by means of spatial relations, which are represented in the fuzzy set framework. The method is hierarchical as the segmentation of a given structure is based on the previously segmented ones. The processing of each structure is decomposed into two stages: an initialization stage which makes extensive use of prior knowledge and a refinement stage using a 3D deformable model. The deformable model is guided by an external force representing the combination of a classical data term derived from an edge map and a force corresponding to a given spatial relation. We propose different ways to compute a force from a fuzzy set representing a relation or a combination of relations. Results obtained for the lateral ventricles, the third ventricle, the caudate nuclei and the thalami are promising. The proposed combination of spatial relations and deformable models has proved to be very useful to segment parts of the structures were no visible edges are present, improving the segmentation accuracy.
DOI：
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发表时间：
1999
期刊：
--
影响因子：
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作者：
Chenyang Xu;Jerry L Prince
通讯作者：
Chenyang Xu;Jerry L Prince