Robust fiber orientation distribution function estimation using deep constrained spherical deconvolution for diffusion-weighted magnetic resonance imaging-Reference-Cited by-同舟云学术

Robust fiber orientation distribution function estimation using deep constrained spherical deconvolution for diffusion-weighted magnetic resonance imaging

Published:2024-01-05 Issue:01 Volume:11 Page:
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Yao Tianyuan¹,Rheault Francois²,Cai Leon Y.³,Nath Vishwesh⁴,Asad Zuhayr¹,Newlin Nancy¹,Cui Can¹,Deng Ruining¹,Ramadass Karthik¹,Shafer Andrea⁵,Resnick Susan⁵,Schilling Kurt³,Landman Bennett A.¹,Huo Yuankai¹

Affiliation:

1. Vanderbilt University, Department of Computer Science, Nashville, Tennessee, United States

2. Université de Sherbrooke, Department of Computer Science, Sherbrooke, Québec, Canada

3. Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee, United States

4. NVIDIA Corporation, Bethesda, Maryland, United States

5. National Institute on Aging, Laboratory of Behavioral Neuroscience, Baltimore, Maryland, United States

Publisher

SPIE-Intl Soc Optical Eng

Reference43 articles.

1. Diffusion-weighted MR Imaging of the Brain

2. DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection

3. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity

4. Diffusion tensor imaging: Concepts and applications

5. Resolving crossing fibres using constrained spherical deconvolution: Validation using diffusion-weighted imaging phantom data

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