August 14, 2024

Iterative denoising of undersampled 3D MRF with exact line search and spatial regularization

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Abstract

We propose an iterative algorithm to remove remaining artefacts of Magnetic Resonance Fingerprinting maps, using projected gradient descent with exact line search and spatial regularization. We use this framework to denoise 3D MRF T1-FF acquisitions undersampled in the partition direction and show that this allows to reduce undersampling artefacts for the T1H2O and FF maps after a few iterations.

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Slioussarenko et al. (Wed,) studied this question.

synapsesocial.com/papers/68e5c624b6db64358755cc4b https://doi.org/https://doi.org/10.58530/2023/2186

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5Improved Low-Rank and Subspace Reconstruction for Magnetic Resonance Fingerprinting with Self-Navigating Acquisitions2024

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