Linking sub-diffusion model parameters and brain cell morphometrics

Motivation: The diffusion MRI signal in brain tissues can be modelled as a sub-diffusion process. The connection between sub-diffusion model parameters and microstructure of brain cells is yet to be explored. Goal(s): The research aims to investigate the link between sub-diffusion model parameters and brain cell morphometrics. Approach: Monte Carlo simulations are performed for representative brain cell types. The sub-diffusion model are then fitted to the simulated diffusion MRI data for each cell type. Results: Results reveal that the sub-diffusion model parameters are sensitive to the branch order of the cell, with higher parameter values indicating higher branch order. Impact: This is the first study to investigate how the sub-diffusion model parameters link to brain cell morphometrics. Our findings may provide new opportunities in diffusion MRI, where cell morphology and potentially cell type are of interest.

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/10.58530/2024/3486
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Linking sub-diffusion model parameters and brain cell morphometrics

Viktor Vegh, Megan E. Farquhar, Marco Palombo, Qianqian Yang
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

Linking sub-diffusion model parameters and brain cell morphometrics

Viktor Vegh, Megan E. Farquhar, Marco Palombo, Qianqian Yang
article en

Abstract

Motivation: The diffusion MRI signal in brain tissues can be modelled as a sub-diffusion process. The connection between sub-diffusion model parameters and microstructure of brain cells is yet to be explored. Goal(s): The research aims to investigate the link between sub-diffusion model parameters and brain cell morphometrics. Approach: Monte Carlo simulations are performed for representative brain cell types. The sub-diffusion model are then fitted to the simulated diffusion MRI data for each cell type. Results: Results reveal that the sub-diffusion model parameters are sensitive to the branch order of the cell, with higher parameter values indicating higher branch order. Impact: This is the first study to investigate how the sub-diffusion model parameters link to brain cell morphometrics. Our findings may provide new opportunities in diffusion MRI, where cell morphology and potentially cell type are of interest.

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 63%
Advanced Neuroimaging Techniques and Applications
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