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Deep Learning Reconstruction for 129Xe Diffusion-Weighted MRI Enables Use of Natural Abundant Xenon and Improved Image Acceleration.

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Bibliographic Details
Title: Deep Learning Reconstruction for 129Xe Diffusion-Weighted MRI Enables Use of Natural Abundant Xenon and Improved Image Acceleration.
Authors: Sundaresan R; POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, Faculty of Health, The University of Sheffield, Sheffield, UK.; GE HealthCare, Bengaluru, India., Collier GJ; POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, Faculty of Health, The University of Sheffield, Sheffield, UK.; Insigneo Institute, The University of Sheffield, Sheffield, UK., Stewart NJ; POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, Faculty of Health, The University of Sheffield, Sheffield, UK.; Insigneo Institute, The University of Sheffield, Sheffield, UK., Chatterjee S; GE HealthCare, Bengaluru, India., Venkatesan R; GE HealthCare, Bengaluru, India., Wolber J; POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, Faculty of Health, The University of Sheffield, Sheffield, UK.; GE HealthCare, Chalfont St Giles, UK., Wild JM; POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, Faculty of Health, The University of Sheffield, Sheffield, UK.; Insigneo Institute, The University of Sheffield, Sheffield, UK.
Source: Magnetic resonance in medicine [Magn Reson Med] 2026 Apr; Vol. 95 (4), pp. 2214-2222. Date of Electronic Publication: 2025 Nov 20.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 8505245 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2594 (Electronic) Linking ISSN: 07403194 NLM ISO Abbreviation: Magn Reson Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1522-2594
DOI:10.1002/mrm.70194