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Original paper

Learning the Sampling Pattern for MRI

Volume: 39, Issue: 12, Pages: 4310 - 4321
Published: Aug 17, 2020
Abstract
The discovery of the theory of compressed sensing brought the realisation that many inverse problems can be solved even when measurements are “incomplete”. This is particularly interesting in magnetic resonance imaging (MRI), where long acquisition times can limit its use. In this work, we consider the problem of learning a sparse sampling pattern that can be used to optimally balance acquisition time versus quality of the reconstructed image....
Paper Details
Title
Learning the Sampling Pattern for MRI
Published Date
Aug 17, 2020
Volume
39
Issue
12
Pages
4310 - 4321
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