Sparsity and locally low rank regularization for MR fingerprinting
Author:
Affiliation:
1. King’s College London School of Biomedical Engineering and Imaging Sciences London United Kingdom
2. Philips Healthcare Guilford United Kingdom
3. Pontificia Universidad Católica de Chile Escuela de Ingeniería Santiago Chile
Funder
Wellcome Trust
National Institute for Health Research
Engineering and Physical Sciences Research Council
Fondo Nacional de Desarrollo Científico y Tecnológico
Publisher
Wiley
Subject
Radiology, Nuclear Medicine and imaging
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.27665
Reference47 articles.
1. Magnetic resonance fingerprinting;Ma D;Nature,2013
2. Matrix completion‐based reconstruction for undersampled magnetic resonance fingerprinting data;Doneva M;Magn Reson Imaging,2017
3. A compressed sensing framework for magnetic resonance fingerprinting;Davies M;SIAM J Imaging Sci,2014
4. Accelerating magnetic resonance fingerprinting (MRF) using t‐blipped simultaneous multislice (SMS) acquisitions;Ye H;Magn Reson Med,2016
5. Use of pattern recognition for unaliasing simultaneously acquired slices in simultaneous multislice MR fingerprinting;Jiang Y;Magn Reson Med,2017
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