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Optimal Mass Transportation-Based Models for Neuronal Fibers

机译:基于最优运输的神经元纤维模型

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Diffusion Magnetic Resonance Imaging (MRI) is used to (non-invasively) study neuronal fibers in the brain white matter. Reconstructing fiber paths from such data (tractography problem) is relevant in particular to study the connectivity between two given cerebral regions. By considering the fiber paths between two given areas as geodesies of a suitable well-posed optimal control problem (related to optimal mass transportation), we are able to provide a quantitative criterion to estimate the connectivity between two given cerebral regions, and to recover the actual distribution of neuronal fibers between them.
机译:扩散磁共振成像(MRI)用于(非侵入性)研究脑白质中的神经元纤维。从此类数据重建纤维路径(影像学问题)尤其与研究两个给定大脑区域之间的连通性有关。通过将两个给定区域之间的纤维路径视为合适的适定最优控制问题(与最优质量传输有关)的大地测量点,我们能够提供定量标准来估计两个给定大脑区域之间的连通性,并恢复它们之间神经纤维的实际分布。

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