Exploring Brain Microstructure with Ultra-high b-values Diffusion MRI: A NODDI Model Comparison

Motivation: The benefits of using ultra-high b-values diffusion MRI (b>6000s/mm2) on characterizing and resolving brain microstructure are still unclear. Goal(s): To determine if the NODDI metrics computed from ultra-high b-values can help characterizing and providing more biological information related to brain microstructure. Approach: NODDI metrics are compared between different b-schemes, and between the corpus callosum and hippocampal subfields. Results: NODDI metrics computed with ultra-high b-value data can help characterize different subfields. Higher NDI and ODI differences in the corpus callosum and hippocampal subfields are observed with larger b-values. Impact: We show that NODDI models can work with ultra-high b-values and help characterizing and providing more biological information related to brain microstructure.

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/10.58530/2024/5113
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring Brain Microstructure with Ultra-high b-values Diffusion MRI: A NODDI Model Comparison

Junye Yao, Paween Wongkornchaovalit, Jianhui Zhong, Hongjian He 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
Advanced Neuroimaging Techniques and Applications
article

Exploring Brain Microstructure with Ultra-high b-values Diffusion MRI: A NODDI Model Comparison

Junye Yao, Paween Wongkornchaovalit, Jianhui Zhong, Hongjian He, Bo Dong, Hui Zhang
article en

Abstract

Motivation: The benefits of using ultra-high b-values diffusion MRI (b>6000s/mm2) on characterizing and resolving brain microstructure are still unclear. Goal(s): To determine if the NODDI metrics computed from ultra-high b-values can help characterizing and providing more biological information related to brain microstructure. Approach: NODDI metrics are compared between different b-schemes, and between the corpus callosum and hippocampal subfields. Results: NODDI metrics computed with ultra-high b-value data can help characterize different subfields. Higher NDI and ODI differences in the corpus callosum and hippocampal subfields are observed with larger b-values. Impact: We show that NODDI models can work with ultra-high b-values and help characterizing and providing more biological information related to brain microstructure.

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 65%
Advanced Neuroimaging Techniques and Applications
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Exploring Brain Microstructure with Ultra-high b-values Diffusion MRI: A NODDI Model Comparison — Junye Yao, Paween Wongkornchaovalit, 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 (2024) | TGRS Research Map | TGRS