Visualization of white matter tracts with wrapped streamlines
Visualization of white matter tracts with wrapped streamlines
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DOI：
10.1109/vis.2005.123
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发表时间：
2005-11
期刊：
影响因子：
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通讯作者：
Frank Enders;N. Sauber;D. Merhof;P. Hastreiter;C. Nimsky;Marc Stamminger
中科院分区：
文献类型：
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作者：
Frank Enders;N. Sauber;D. Merhof;P. Hastreiter;C. Nimsky;Marc Stamminger
扩散张量成像是一种磁共振成像方法，在神经科学特别是神经外科中越来越重要。它为收集的数据集中的每个体素获得由对称二阶张量表示的扩散属性。从医学的角度来看，这些数据具有特殊的意义，因为不同的脑组织有不同的扩散特征，从而可以得出有关脑物质束等潜在结构的结论。可视化这些数据的一个明显方法是使用主要特征向量来关注各向异性区域，并使用渲染线来可视化模拟结果。我们的方法扩展了这种技术，以避免线条表示，因为线条导致10个非常复杂的插图，而且容易出错。相反，我们生成的表面包裹着线束。因此，实现了对不同束的更直观的表示。
Diffusion tensor imaging is a magnetic resonance imaging method which has gained increasing importance in neuroscience and especially in neurosurgery. It acquires diffusion properties represented by a symmetric 2nd order tensor for each voxel in the gathered dataset. From the medical point of view, the data is of special interest due lo different diffusion characteristics of varying brain tissue allowing conclusions about the underlying structures such as while matter tracts. An obvious way to visualize this data is to focus on the anisotropic areas using the major eigenvector for tractography and rendering lines for visualization of the simulation results. Our approach extends this technique to avoid line representation since lines lead 10 very complex illustrations and furthermore are mistakable. Instead, we generate surfaces wrapping bundles of lines. Thereby, a more intuitive representation of different tracts is achieved.