Vessel-Encoded Arterial Spin Labeling at 7 Tesla

Motivation: Vessel-encoded arterial spin labeling (VEASL) allows the visualization of collateral blood flow and blood supply to lesions, but has limited SNR. At ultra-high field, ASL benefits from significantly improved SNR and longer blood T1 relaxation time. However, B0 field inhomogeneity can reduce labeling efficiency and disrupt encoding patterns. Goal(s): Implementing VEASL robustly at 7 Tesla. Approach: Optimized ASL parameters, dynamic B0 shimming and OES-based correction methods were used to mitigate the impact of B0 field inhomogeneity. Results: Good vascular territory maps, labeling both the neck and above the circle of Willis, were achieved, including at high spatial resolution. Impact: We demonstrate the first vessel-encoded ASL perfusion maps at ultra-high field, and the vascular territory maps significantly improved after applying B0 correction techniques, with the potential to push for even higher spatial resolution.

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/10.58530/2024/1260
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

Vessel-Encoded Arterial Spin Labeling at 7 Tesla

Zhensen Chen, Joseph G. Woods, Yang Ji, LI Hong-we 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

Vessel-Encoded Arterial Spin Labeling at 7 Tesla

Zhensen Chen, Joseph G. Woods, Yang Ji, LI Hong-we, Thomas W. Okell, He Wang
article en

Abstract

Motivation: Vessel-encoded arterial spin labeling (VEASL) allows the visualization of collateral blood flow and blood supply to lesions, but has limited SNR. At ultra-high field, ASL benefits from significantly improved SNR and longer blood T1 relaxation time. However, B0 field inhomogeneity can reduce labeling efficiency and disrupt encoding patterns. Goal(s): Implementing VEASL robustly at 7 Tesla. Approach: Optimized ASL parameters, dynamic B0 shimming and OES-based correction methods were used to mitigate the impact of B0 field inhomogeneity. Results: Good vascular territory maps, labeling both the neck and above the circle of Willis, were achieved, including at high spatial resolution. Impact: We demonstrate the first vessel-encoded ASL perfusion maps at ultra-high field, and the vascular territory maps significantly improved after applying B0 correction techniques, with the potential to push for even higher spatial resolution.

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 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.

Vessel-Encoded Arterial Spin Labeling at 7 Tesla — Zhensen Chen, Joseph G. Woods, 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