Correcting temperature related diffusivity drift for postmortem diffusion MRI

Motivation: In diffusion MRI, large post-mortem samples reach steady-state temperature and diffusivity only after a very long scan time. Goal(s): Our goal was to use data during steady-state temperature adaptation to model changing diffusivity and still obtain reliable tissue orientations. Approach: We estimated the diffusivities at steady-state temperature with a subset of the data and computed the temperature correction coefficients from the difference between predicted and measured data. Results: The corrected data has greatly increased test-retest agreement and angular accuracy of fiber orientation estimates. Impact: Accelerate post-mortem diffusion MRI by replacing dummy scans with our new data-driven temperature modeling.

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
2024-11-26
DOI
https://doi.org/10.58530/2024/2423
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Correcting temperature related diffusivity drift for postmortem diffusion MRI

Michael Paquette, Alfred Anwander, Cornelius Eichner, Christian Bock
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
Advanced Neuroimaging Techniques and Applications
article

Correcting temperature related diffusivity drift for postmortem diffusion MRI

Michael Paquette, Alfred Anwander, Cornelius Eichner, Christian Bock
article en

Abstract

Motivation: In diffusion MRI, large post-mortem samples reach steady-state temperature and diffusivity only after a very long scan time. Goal(s): Our goal was to use data during steady-state temperature adaptation to model changing diffusivity and still obtain reliable tissue orientations. Approach: We estimated the diffusivities at steady-state temperature with a subset of the data and computed the temperature correction coefficients from the difference between predicted and measured data. Results: The corrected data has greatly increased test-retest agreement and angular accuracy of fiber orientation estimates. Impact: Accelerate post-mortem diffusion MRI by replacing dummy scans with our new data-driven temperature modeling.

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%
Advanced Neuroimaging Techniques and Applications
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