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Comparative evaluation of supervised and unsupervised deep learning strategies for denoising hyperpolarized 129Xe lung MRI

Reduced signal‐to‐noise ratio (SNR) in hyperpolarized 129Xe MR images can affect accurate quantification for research and diagnostic evaluations. Thus, this study explores the application of supervised deep learning (DL) denoising,… Click to show full abstract

Reduced signal‐to‐noise ratio (SNR) in hyperpolarized 129Xe MR images can affect accurate quantification for research and diagnostic evaluations. Thus, this study explores the application of supervised deep learning (DL) denoising, traditional (Trad) and Noise2Noise (N2N) and unsupervised Noise2void (N2V) approaches for 129Xe MR imaging.

Keywords: deep learning; supervised unsupervised; evaluation supervised; comparative evaluation; hyperpolarized 129xe

Journal Title: Magnetic Resonance in Medicine
Year Published: 2025

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