Potential application of magnetization transfer-indirect spin labeling MRI for imaging multiple sclerosis at 3T

Motivation: MISL MRI in imaging the water exchange between CSF and brain tissue of human brain remains unexplored. Goal(s): This study aims to optimize the MISL MRI at clinical 3T and utilize it for imaging water exchange in multiple sclerosis (MS). Approach: Echo time was first optimized for MISL MRI, which was then applied for imaging 19 healthy controls (HCs) and 12 MS patients on a clinical 3T MRI scanner. Results: A TE of ≥140 ms is applicable for MISL MRI of human brain at 3T. MISL MRI detected a decreasing trend in water exchange tissue in MS patients. Impact: This study optimized the echo time for MISL MRI of human brain at clinical 3T. MISL MRI detected a decreasing trend in water exchange between CSF and brain tissue in MS patients, suggesting its potential for imaging neurological diseases.

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/10.58530/2025/3761
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Potential application of magnetization transfer-indirect spin labeling MRI for imaging multiple sclerosis at 3T

Jianpan Huang, Ziyan Wang, Jiawen Wang, Shihao Zeng 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

Potential application of magnetization transfer-indirect spin labeling MRI for imaging multiple sclerosis at 3T

Jianpan Huang, Ziyan Wang, Jiawen Wang, Shihao Zeng, Pei Cai, Huabin Zhang
article en

Abstract

Motivation: MISL MRI in imaging the water exchange between CSF and brain tissue of human brain remains unexplored. Goal(s): This study aims to optimize the MISL MRI at clinical 3T and utilize it for imaging water exchange in multiple sclerosis (MS). Approach: Echo time was first optimized for MISL MRI, which was then applied for imaging 19 healthy controls (HCs) and 12 MS patients on a clinical 3T MRI scanner. Results: A TE of ≥140 ms is applicable for MISL MRI of human brain at 3T. MISL MRI detected a decreasing trend in water exchange tissue in MS patients. Impact: This study optimized the echo time for MISL MRI of human brain at clinical 3T. MISL MRI detected a decreasing trend in water exchange between CSF and brain tissue in MS patients, suggesting its potential for imaging neurological diseases.

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
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.

Potential application of magnetization transfer-indirect spin labeling MRI for imaging multiple sclerosis at 3T — Jianpan Huang, Ziyan Wang, 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