Enhanced Detection of Acute Ischemic Stroke With Low-Field MRI

Implementation of diffusion-weighted imaging optimization strategies on low-field MRI improves detection of very small strokes in a clinically feasible time frame.

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Publication Details

Journal
Stroke Vascular and Interventional Neurology
Published
2026-01-21
DOI
https://doi.org/10.1161/svin.125.002110
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Enhanced Detection of Acute Ischemic Stroke With Low-Field MRI

John Pitts, Stephen Bacchi, Matthew Rosen, A de Havenon et al.
Stroke Vascular and Interventional Neurology
Advanced MRI Techniques and Applications
article

Enhanced Detection of Acute Ischemic Stroke With Low-Field MRI

John Pitts, Stephen Bacchi, Matthew Rosen, A de Havenon, Julie Iglesias, Nándor Pintér, Vinay Jaikumar, Kathryn E. Keenan, Gordon Sze, John E. Kirsch, Rafael O’Halloran, Olivia Nelson, Hailey Brigger, Jennifer D. Guo, Blair A. Parry, Amelia Demopoulos, Kevin N. Sheth, Shahid M. Nimjee, Adnan Siddiqui, Vivien H. Lee, Joshua N. Goldstein, W. Taylor Kimberly, Annabel Sorby-Adams, Keith W. Muir, Ian Johnson
article en

Abstract

Implementation of diffusion-weighted imaging optimization strategies on low-field MRI improves detection of very small strokes in a clinically feasible time frame.

Stroke Vascular and Interventional NeurologyVol. 6(2)
National Institute of Standards and Technology (US), Yale New Haven Hospital (US), Hawassa University (ET), The Ohio State University Wexner Medical Center (US), Yale University (US), Massachusetts General Hospital (US), Athinoula A. Martinos Center for Biomedical Imaging (US), Jacobs Institute (US), Center for Systems Biology (US), University College London (GB), University at Buffalo, State University of New York (US), Massachusetts Institute of Technology (US), Guilford College (US), University of Glasgow (GB)
Massachusetts General Hospital, Yale University, Massachusetts Institute of Technology, Ohio State University, University College London, University of Glasgow, Centre d'Imagerie BioMédicale, National Institute of Standards and Technology, University at Buffalo, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Department of Radiology and Biomedical Imaging, University of California, San Francisco
Openalex Percentile: Top 83%
Advanced MRI Techniques and Applications
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