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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Bibliographic Details
Published in:	Magma (New York, N.Y.) Vol. 37; no. 6; pp. 1059 - 1076
Main Authors:	Zijlstra, Frank, While, Peter Thomas
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01.12.2024
Subjects:	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
Online Access:	Get full text
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