The effect of realistic geometries on the susceptibility‐weighted MR signal in white matter

201753 citationsJournal Articlehybrid Open Access

Authors

Tianyou Xu · Wellcome Centre for Integrative Neuroimaging

Sean Foxley · Wellcome Centre for Integrative Neuroimaging

Michiel Kleinnijenhuis · University of Oxford

Way Cherng Chen · Agency for Science, Technology and Research

Karla L. Miller · Wellcome Centre for Integrative Neuroimaging

Abstract

The geometry of axons affects the MR signal significantly. Literature estimates of myelin susceptibility, which are based on fitting biophysical models to the MR signal, are likely to be biased by the assumed geometry, as will any derived microstructural properties. Magn Reson Med 79:489-500, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Topics & Keywords

Advanced Neuroimaging Techniques and Applications Advanced MRI Techniques and Applications Multiple Sclerosis Research Studies

UN Sustainable Development Goals

Sustainable cities and communities

Publication Details

Published in: Magnetic Resonance in Medicine

Volume 79, Issue 1, pp. 489-500

DOI: 10.1002/mrm.26689

Field-Weighted Citation Impact: 5.13