Quantitative Ischemic Lesions of Portable Low-Field Strength MRI Using Deep Learning-Based Super-Resolution.

Yueyan Bian¹, Long Wang², Jin Li¹, Xiaoxu Yang¹, Erling Wang¹, Yingying Li¹, Yuehong Liu¹, Lei Xiang², Qi Yang^1,3

¹Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, China (Y.B., J.L., X.Y., E.W., Y. Li, Y. Liu, Q.Y.).

²Department of Research and Development, Subtle Medical, Shanghai, China (L.W., L.X.).

³Laboratory for Clinical Medicine, Capital Medical University, Beijing, China (Q.Y.).

PubMed DOI

Abstract

BACKGROUND: Deep learning-based synthetic super-resolution magnetic resonance imaging (SynthMRI) may improve the quantitative lesion performance of portable low-field strength magnetic resonance imaging (LF-MRI). The aim of this study is to evaluate whether SynthMRI improves the diagnostic performance of LF-MRI in assessing ischemic lesions. METHODS: We retrospectively included 178 stroke patient…

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