Predicting Mesoscopic Larmor Frequency Shifts with Diffusion MRI in Ex Vivo Pig Optic Nerve

Motivation: Larmor frequency shifts in white matter (WM) depend on orientation due to anisotropic microstructure. Accurate magnetic susceptibility estimation in brain tissue requires a model for these sub-voxel shifts. Goal(s): To validate if μQSM can predict measured WM Larmor frequency shifts by incorporating mesoscopic shifts from orientationally dispersed hollow cylinders and spherical inclusions. Approach: We acquired dMRI and MGE images of a pig optic nerve in PBS at multiple orientations using a 3T Siemens Connectom scanner, comparing sub-voxel shifts to model predictions. Results: μQSM successfully predicted tissue Larmor frequency, suggesting mesoscopic shifts from uniformly magnetized axons explain the observed changes, without invoking susceptibility anisotropy. Impact: This study elucidates the nature of Larmor frequency shifts in coherent white matter, enhancing our understanding of its microstructural origin. These insights have the potential to improve QSM techniques by achieving better estimation of tissue magnetic susceptibility.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/1263
Primary Topic
Infrared Thermography in Medicine
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting Mesoscopic Larmor Frequency Shifts with Diffusion MRI in Ex Vivo Pig Optic Nerve

Toralf Mildner, Niklas Wallstein, Aage Kristian Olsen Alstrup, Carsten Jäger et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Infrared Thermography in Medicine
article

Predicting Mesoscopic Larmor Frequency Shifts with Diffusion MRI in Ex Vivo Pig Optic Nerve

Toralf Mildner, Niklas Wallstein, Aage Kristian Olsen Alstrup, Carsten Jäger, Sune Nørhøj Jespersen, Harald E. Möller, Roland Müller, André Pampel, Anders Dyhr Sandgaard
article en

Abstract

Motivation: Larmor frequency shifts in white matter (WM) depend on orientation due to anisotropic microstructure. Accurate magnetic susceptibility estimation in brain tissue requires a model for these sub-voxel shifts. Goal(s): To validate if μQSM can predict measured WM Larmor frequency shifts by incorporating mesoscopic shifts from orientationally dispersed hollow cylinders and spherical inclusions. Approach: We acquired dMRI and MGE images of a pig optic nerve in PBS at multiple orientations using a 3T Siemens Connectom scanner, comparing sub-voxel shifts to model predictions. Results: μQSM successfully predicted tissue Larmor frequency, suggesting mesoscopic shifts from uniformly magnetized axons explain the observed changes, without invoking susceptibility anisotropy. Impact: This study elucidates the nature of Larmor frequency shifts in coherent white matter, enhancing our understanding of its microstructural origin. These insights have the potential to improve QSM techniques by achieving better estimation of tissue magnetic susceptibility.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 64%
Infrared Thermography in Medicine
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.