A Riemannian Bayesian framework for estimating diffusion tensor images

DOI10.1007/s11263-016-0909-2zbMath1398.94039OpenAlexW2346839712WikidataQ115379792 ScholiaQ115379792MaRDI QIDQ1991506

Kai Krajsek, Marion I. Menzel, Hanno Scharr

Publication date: 30 October 2018

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-016-0909-2

zbMATH Keywords

Riemannian manifoldestimation theorydiffusion tensor imaging (DTI)diffusion tensor images

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Methods of local Riemannian geometry (53B21)

Related Items (2)

A Riemannian Bayesian framework for estimating diffusion tensor images ⋮ HARDI segmentation via fourth-order tensors and anisotropy preserving similarity measures

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