Brain tissue compartment density estimated using diffusion-weighted MRI yields tissue parameters consistent with histology

Author:

Sepehrband Farshid12,Clark Kristi A.3,Ullmann Jeremy F.P.1,Kurniawan Nyoman D.1,Leanage Gayeshika1,Reutens David C.1,Yang Zhengyi14

Affiliation:

1. Centre for Advanced Imaging; The University of Queensland; Brisbane Australia

2. Queensland Brain Institute, The University of Queensland; Brisbane Australia

3. Institute for Neuroimaging and Informatics, University of Southern California; Los Angeles California

4. School of Information Technology and Electrical Engineering; The University of Queensland; Brisbane Australia

Funder

University of Queensland Centennial (UQCent) and International Postgraduate Research Scholarship (IPRS) (F.S.)

Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)

National Institutes of Health

Publisher

Wiley

Subject

Clinical Neurology,Neurology,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

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