Diffusion MRI of the liver with Optimized Slice-specific, Liver-specific Shimming

Motivation: Diffusion MRI of the liver has important clinical and research applications, but is often affected by unsuppressed fat, poor water excitation, and image distortions due to shimming challenges. Goal(s): To optimize fat suppression, signal, and distortions for liver DWI. Approach: Slice-specific chemical shift-encoded (CSE) data-informed optimization of shims is combined with liver object detection, and prospectively evaluated in 3 subjects imaged at 3T. Results: Improved fat suppression, water signal excitation, and reduced distortion were observed for slice-specific CSE-guided optimized shimming that prioritized liver regions. Impact: DWI of the abdomen with reliable fat suppression is demonstrated in challenging slices by optimizing for liver regions when using a slice-specific shimming approach. This combined method may enable improved detection and staging of cancer in the abdomen.

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/10.58530/2025/1676
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diffusion MRI of the liver with Optimized Slice-specific, Liver-specific Shimming

Arnaud Guidon, Patricia Lan, Aidan Tollefson, Diego Hernando 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
MRI in cancer diagnosis
article

Diffusion MRI of the liver with Optimized Slice-specific, Liver-specific Shimming

Arnaud Guidon, Patricia Lan, Aidan Tollefson, Diego Hernando, Ali Pirasteh, Garrett C. Fullerton, Gaohong Wu
article en

Abstract

Motivation: Diffusion MRI of the liver has important clinical and research applications, but is often affected by unsuppressed fat, poor water excitation, and image distortions due to shimming challenges. Goal(s): To optimize fat suppression, signal, and distortions for liver DWI. Approach: Slice-specific chemical shift-encoded (CSE) data-informed optimization of shims is combined with liver object detection, and prospectively evaluated in 3 subjects imaged at 3T. Results: Improved fat suppression, water signal excitation, and reduced distortion were observed for slice-specific CSE-guided optimized shimming that prioritized liver regions. Impact: DWI of the abdomen with reliable fat suppression is demonstrated in challenging slices by optimizing for liver regions when using a slice-specific shimming approach. This combined method may enable improved detection and staging of cancer in the abdomen.

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%
MRI in cancer diagnosis
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.

Diffusion MRI of the liver with Optimized Slice-specific, Liver-specific Shimming — Arnaud Guidon, Patricia Lan, 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