Calibrationless parallel imaging reconstruction based on structured low-rank matrix completion

2013400 citationsJournal Articlebronze Open Access

Authors

Peter Shin · Graduate Theological Union

Peder E. Z. Larson · Graduate Theological Union

Michael A. Ohliger · University of California, San Francisco

Michael Elad · Technion – Israel Institute of Technology

John M. Pauly · Resonance Research (United States)

Daniel B. Vigneron · University of California, San Francisco

Michael Lustig

Abstract

Because estimation of coil sensitivity information is not needed, the proposed method could potentially benefit MR applications where acquiring accurate calibration data is limiting or not possible at all.

Topics & Keywords

Advanced MRI Techniques and Applications Medical Imaging Techniques and Applications Sparse and Compressive Sensing Techniques

Publication Details

Published in: Magnetic Resonance in Medicine

Volume 72, Issue 4, pp. 959-970

DOI: 10.1002/mrm.24997

Field-Weighted Citation Impact: 14.30

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Calibrationless parallel imaging reconstruction based on structured low-rank matrix completion

Authors

Abstract

Topics & Keywords

Publication Details