Magnetic Resonance in Medical Sciences
Online ISSN : 1880-2206
Print ISSN : 1347-3182
ISSN-L : 1347-3182
Technical Notes
Accelerated Acquisition of High-resolution Diffusion-weighted Imaging of the Brain with a Multi-shot Echo-planar Sequence: Deep-learning-based Denoising
Motohide KawamuraDaiki TamadaSatoshi FunayamaMarie-Luise KromreyShintaro IchikawaHiroshi OnishiUtaroh Motosugi
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JOURNAL OPEN ACCESS

2021 Volume 20 Issue 1 Pages 99-105

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Abstract

To accelerate high-resolution diffusion-weighted imaging with a multi-shot echo-planar sequence, we propose an approach based on reduced averaging and deep learning. Denoising convolutional neural networks can reduce amplified noise without requiring extensive averaging, enabling shorter scan times and high image quality. The preliminary experimental results demonstrate the superior performance of the proposed denoising method over state-of-the-art methods such as the widely used block-matching and 3D filtering.

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© 2020 by Japanese Society for Magnetic Resonance in Medicine

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