DORIS: A diffusion MRI-based 10 tissue class deep learning segmentation algorithm tailored to improve anatomically-constrained tractography

Modern tractography algorithms such as anatomically-constrained tractography (ACT) are based on segmentation maps of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF). These maps are generally estimated from a T1-weighted (T1w) image and then registered in diffusion weighted images...

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Veröffentlicht in:	Frontiers in neuroimaging Jg. 1; S. 917806
Hauptverfasser:	Theaud, Guillaume, Edde, Manon, Dumont, Matthieu, Zotti, Clément, Zucchelli, Mauro, Deslauriers-Gauthier, Samuel, Deriche, Rachid, Jodoin, Pierre-Marc, Descoteaux, Maxime
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Media 22.09.2022 Frontiers Media S.A
Schlagworte:	Artificial Intelligence Cognitive science Computer Science Medical Imaging Neuroimaging Neuroscience diffusion magnetic resonance imaging tractography machine learning image segmentation anatomical constraints Diffusion Magnetic Resonance imaging Machine Learning Image Segmentation Tractography Anatomical contraints
ISSN:	2813-1193, 2813-1193
Online-Zugang:	Volltext
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