AUTOMATED MULTI-ATLAS LABELING OF THE FORNIX AND ITS INTEGRITY IN ALZHEIMER'S DISEASE.
AUTOMATED MULTI-ATLAS LABELING OF THE FORNIX AND ITS INTEGRITY IN ALZHEIMER'S DISEASE.
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DOI：
10.1109/isbi.2015.7163835
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发表时间：
2015-04
期刊：
影响因子：
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通讯作者：
Alzheimer’s Disease Neuroimaging Initiative (ADNI)
中科院分区：
文献类型：
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作者：
Jin Y;Shi Y;Zhan L;Thompson PM;Alzheimer’s Disease Neuroimaging Initiative (ADNI)
阿尔茨海默病是痴呆症最常见的形式。弥散成像提供了标准MRI无法提供的白色物质完整性信息，揭示了阿尔茨海默病如何影响大脑的额外信息。在这里，我们实施并测试了一个多图集标记算法分割穹窿和点对应道匹配方案，以评估纤维完整性的穹窿在扩散MRI从210名参与者扫描作为阿尔茨海默病神经影像倡议的一部分。各种扩散衍生的措施被用来与穹窿变性认知能力下降。在三维参数化管道模型中，平均扩散率（MD）比各向异性分数（FA）对组间差异更敏感。与以前的研究相比，我们绘制了扩散信息沿着穹窿，产生3-D地图的退行性变化沿着道的人与不同阶段的阿尔茨海默病。
Alzheimer's disease is the most common form of dementia. Diffusion imaging provides information on white matter integrity not available with standard MRI, revealing additional information on how Alzheimer’s disease affects the brain. Here we implemented and tested a multi-atlas labeling algorithm to segment the fornix and a point-correspondence tract matching scheme to assess fiber integrity in the fornix in diffusion MRI from 210 participants scanned as part of the Alzheimer’s Disease Neuroimaging Initiative. Various diffusion-derived measures were used to relate fornix degeneration to cognitive decline. On 3D parametric tract models, mean diffusivity (MD) was more sen-sitive to group differences than fractional anisotropy (FA). Compared to previous studies, we mapped diffusion information along the fornix, yielding 3-D maps of degenerative changes along the tract in people with different stages of Alzheimer’s disease.