Deep-learning-based image reconstruction with limited data: generating synthetic raw data using deep learning

Object Deep learning has shown great promise for fast reconstruction of accelerated MRI acquisitions by learning from large amounts of raw data. However, raw data is not always available in sufficient quantities. This study investigates synthetic data generation to complement small datasets and impr...

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Vydáno v:	Magma (New York, N.Y.) Ročník 37; číslo 6; s. 1059 - 1076
Hlavní autoři:	Zijlstra, Frank, While, Peter Thomas
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.12.2024
Témata:	Algorithms Basic Science - Reconstruction algorithms and artificial intelligence Biomedical Engineering and Bioengineering Brain - diagnostic imaging Computer Appl. in Life Sciences Deep Learning Health Informatics Humans Image Processing, Computer-Assisted - methods Imaging Magnetic Resonance Imaging - methods Medicine Medicine & Public Health Neural Networks, Computer Radiology Research Article Solid State Physics Deep learning Accelerated MRI Image reconstruction Synthetic data
ISSN:	1352-8661, 0968-5243, 1352-8661
On-line přístup:	Získat plný text
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