DTI visualization with streamsurfaces and evenly-spaced volume seeding
DTI visualization with streamsurfaces and evenly-spaced volume seeding
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DOI：
10.2312/vissym/vissym04/173-182
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发表时间：
2004-05
期刊：
影响因子：
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通讯作者：
A. Vilanova;G. Berenschot;C. Pul
中科院分区：
文献类型：
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作者：
A. Vilanova;G. Berenschot;C. Pul
实验证据表明，水扩散在有组织的组织如白色物质或肌肉中是各向异性的。扩散张量成像是一种测量水扩散的非侵入性MR技术。DTI用于可视化线性结构，如纤维。在本文中，我们提出了一个可视化工具的DTI数据。提出了一种新的算法来显示交叉或会聚纤维区域中的线性结构。通常，用户定义从其中生成纤维的区域。以这种方式，如果区域没有被正确地定义，则用户可能错过部分信息。我们提出了一种方法来可视化的结构在整个体积与均匀间隔的距离。将介绍我们的合作伙伴使用DTI工具获得的一些结果。
Experimental evidence has shown that water diffusion is anisotropic in organized tissues such as white matter or muscles. Diffusion Tensor Imaging is a non-invasive MR technique that measures water diffusion. DTI is used to visualize linear structures such as fibers. In this paper, we present a visualization tool for DTI data. A new algorithm to visualize linear structures in areas of crossing or converging fibers is presented. Usually the user defines an area from where the fibers are generated. In this way, the user can miss part of the information, if the area is not correctly defined. We present a method to visualize the structures in the whole volume with an evenly-spaced distance between them. Some results obtained by our partners using the DTI tool will be presented.