Diffusion MRI-based Explicit Microstructural Imaging Analysis

Motivation: Current model fitting of dMRI-based cell size imaging is implicit, which is time-consuming and limits the reproducibility of imaging results, hindering the promotion of such techniques in applications. Goal(s): Improve basic mathematical framework and obtain an explicit solution. Approach: Designed special sequences to make restricted ADC satisfy linear relationships with cell radius, then derive explicit expressions for microstructural parameters. Results: A series of sequences that meet the requirements were obtained, and an explicit cell size imaging method EMIA was developed. Simulations show that EMIA can avoid unstable model fitting, greatly reduces computational time, and has clinical potential in applications. Impact: Clinical applications of cell size imaging are limited by current implicit model fitting, which is time-consuming and poorly reproducible. We developed an explicit imaging method by designing diffusion-weighted sequences, improving unstable fitting and shortening computational time.

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/10.58530/2025/4045
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Diffusion MRI-based Explicit Microstructural Imaging Analysis

Wen Zhong, Diwei Shi, Junzhong Xu, Fan Liu 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 MRI Techniques and Applications
article

Diffusion MRI-based Explicit Microstructural Imaging Analysis

Wen Zhong, Diwei Shi, Junzhong Xu, Fan Liu, Li Chen, Zhe Wang, Hua Guo
article en

Abstract

Motivation: Current model fitting of dMRI-based cell size imaging is implicit, which is time-consuming and limits the reproducibility of imaging results, hindering the promotion of such techniques in applications. Goal(s): Improve basic mathematical framework and obtain an explicit solution. Approach: Designed special sequences to make restricted ADC satisfy linear relationships with cell radius, then derive explicit expressions for microstructural parameters. Results: A series of sequences that meet the requirements were obtained, and an explicit cell size imaging method EMIA was developed. Simulations show that EMIA can avoid unstable model fitting, greatly reduces computational time, and has clinical potential in applications. Impact: Clinical applications of cell size imaging are limited by current implicit model fitting, which is time-consuming and poorly reproducible. We developed an explicit imaging method by designing diffusion-weighted sequences, improving unstable fitting and shortening computational time.

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 MRI Techniques and Applications
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Diffusion MRI-based Explicit Microstructural Imaging Analysis — Wen Zhong, Diwei Shi, 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 (2025) | TGRS Research Map | TGRS