Spatial Sparse Estimation of Fiber Orientation Distribution Using Deep Alternating Directions Method of Multipliers Network

DOI10.1007/978-3-030-52893-5_7zbMath1457.92089OpenAlexW3096881011MaRDI QIDQ5147114

Yuanjing Feng, Lipeng Ning, Jianzhong He, Ridho Akbar, Lauren J. O'Donnell, Qingrun Zeng, Fan Zhang, Carl-Fredrik Westin

Publication date: 2 February 2021

Published in: Computational Diffusion MRI (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-52893-5_7

zbMATH Keywords

diffusion MRIdeep ADMM networkfiber orientation distributionssparse spatial deconvolution model

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Neural networks for/in biological studies, artificial life and related topics (92B20) Computational methods for problems pertaining to biology (92-08)

Uses Software

• Dipy

Cites Work

• Algorithms for the regularization of ill-conditioned least squares problems

This page was built for publication: Spatial Sparse Estimation of Fiber Orientation Distribution Using Deep Alternating Directions Method of Multipliers Network