University of Strasbourg, CNRS, ICube, FMTS Strasbourg, France.
Med Image Anal. 2013 Apr;17(3):375-86. doi: 10.1016/j.media.2013.01.004. Epub 2013 Feb 9.
Diffusion weighted magnetic resonance imaging (DW-MRI) makes it possible to probe brain connections in vivo. This paper presents a change detection framework that relies on white matter pathways with application to neuromyelitis optica (NMO). The objective is to detect local or global fiber diffusion property modifications between two longitudinal DW-MRI acquisitions of a patient. To this end, we develop two frameworks based on statistical tests on tensor eigenvalues to detect local or global changes along the white matter pathways: a pointwise test that compares tensor populations extracted in bundles cross sections and a fiberwise test that compares paired tensors along all the fiber bundles. Experiments on both synthetic and real data highlight the benefit of considering fiber based statistical tests compared to standard voxelwise strategies.
扩散加权磁共振成像（DW-MRI）使得探测活体大脑连接成为可能。本文提出了一种依赖于白质通路的变化检测框架，并将其应用于视神经脊髓炎（NMO）。其目的是检测患者两次纵向 DW-MRI 采集之间的局部或全局纤维扩散特性变化。为此，我们开发了两种基于张量特征值统计检验的框架，以检测白质通路沿线的局部或全局变化：一种是点对点检验，比较在束横截面上提取的张量种群，另一种是纤维检验，比较所有纤维束的配对张量。在合成数据和真实数据上的实验结果表明，与标准体素策略相比，考虑基于纤维的统计检验具有优势。
