Wu Ye, Ahmad Sahar, Yap Pew-Thian
Department of Radiology and Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, NC, USA.
Med Image Comput Comput Assist Interv. 2021 Sep-Oct;12907:477-486. doi: 10.1007/978-3-030-87234-2_45. Epub 2021 Sep 21.
A central goal in systems neuroscience is to parcellate the brain into discrete units that are neurobiologically coherent. Here, we propose a strategy for consistent whole-brain parcellation of white matter (WM) and gray matter (GM) in individuals. We parcellate the brain into coherent parcels using non-negative matrix factorization based on voxel annotation using fiber clusters. Tractography is performed using an algorithm that mitigates gyral bias, allowing full gyral and sulcal coverage for reliable parcellation of the cortical ribbon. Experimental results indicate that parcellation using our approach is highly reproducible with 100% test-retest parcel identification rate and is highly consistent with significantly lower inter-subject variability than FreeSurfer parcellation. This implies that reproducible parcellation can be obtained for subject-specific investigation of brain structure and function.
系统神经科学的一个核心目标是将大脑划分为神经生物学上连贯的离散单元。在此，我们提出一种针对个体白质（WM）和灰质（GM）进行全脑一致性分割的策略。我们基于使用纤维簇的体素注释，通过非负矩阵分解将大脑分割为连贯的脑区。使用一种减轻脑回偏差的算法进行纤维束成像，从而实现对脑回和脑沟的全面覆盖，以可靠地分割皮质带。实验结果表明，使用我们的方法进行分割具有高度可重复性，重测脑区识别率达100%，并且与FreeSurfer分割相比，个体间变异性显著更低，一致性更高。这意味着可以获得可重复的分割结果，用于大脑结构和功能的个体特异性研究。
