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Article

Evaluating Second-Generation Deep Learning Technique for Noise Reduction in Myocardial T1-Mapping Magnetic Resonance Imaging

2025-04-18

Abstract excerpt

<h4>Background: </h4> T1 mapping has become a valuable technique in cardiac magnetic resonance imaging (CMR) for evaluating myocardial tissue properties. However, its quantitative accuracy remains limited by noise-related variability. Super-resolution deep learning-based reconstruction (SR-DLR) has shown potential in enhancing image quality across various MRI applications, yet its effectiveness in myocardial T1 ma...

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Literature Corpus work
92c64a73-8c8f-5a03-b679-912060054a28
DOI
10.20944/preprints202504.1488.v1
Open publication

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Evaluating Second-Generation Deep Learning Technique for Noise Reduction in Myocardial T1-Mapping Magnetic Resonance ImagingDOI 10.20944/preprints202504.1488.v1
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