Neural Registration and Segmentation of White Matter Tracts in Multi-modal Brain MRI скачать в хорошем качестве

Neural Registration and Segmentation of White Matter Tracts in Multi-modal Brain MRI

Authors: Noa Barzilay (Tel Aviv University); Ilya Nelkenbaum (Sheba Medical Center); Eli Konen (Sheba Medical Center); Nahum Kiryati (Tel-Aviv University); Arnaldo Mayer (Sheba Medical Center)* Abstract: "Pre-surgical mapping of white matter (WM) tracts requires specific neuroanatomical knowledge and a significant amount of time. Currently, pre-surgical tractography workflows rely on classical registra- tion tools that prospectively align the multiple brain MRI modalities required for the task. Brain lesions and patient motion may challenge the robustness and accuracy of these tool, eventually requiring additional manual intervention. We present a novel neural workflow for 3-D registra- tion and segmentation of WM tracts in multiple brain MRI sequences. The method is applied to pairs of T1-weighted (T1w) and direction- ally encoded color (DEC) maps. Validation is provided on two different datasets, the Human Connectome Project (HCP) dataset, and a real pre- surgical dataset. The proposed method outperforms the state-of-the-art TractSeg and AGYnet algorithms on both datasets, quantitatively and qualitatively, suggesting its applicability to automatic WM tract map- ping in neuro-surgical MRI."