Vol. 15, No. 2, 2020

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Simulating single-coil MRI from the responses of multiple coils

Mark Tygert and Jure Zbontar

Vol. 15 (2020), No. 2, 115–127

We convert the information-rich measurements of parallel and phased-array MRI into noisier data that a corresponding single-coil scanner could have taken. Specifically, we replace the responses from multiple receivers with a linear combination that emulates the response from only a single, aggregate receiver, replete with the low signal-to-noise ratio and phase problems of any single one of the original receivers (combining several receivers is necessary, however, since the original receivers usually have limited spatial sensitivity). This enables experimentation in the simpler context of a single-coil scanner prior to development of algorithms for the full complexity of multiple receiver coils.

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magnetic resonance imaging, parallel imaging, multicoil, fastMRI, deep learning, machine learning
Mathematical Subject Classification 2010
Primary: 68U10, 78A50, 78M50, 92C55
Secondary: 65K10, 78A55, 94A08
Received: 27 May 2019
Revised: 1 May 2020
Accepted: 29 June 2020
Published: 19 November 2020
Mark Tygert
Artificial Intelligence Research
Menlo Park, CA
United States
Jure Zbontar
Artificial Intelligence Research
New York, NY
United States