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Michael A. Ohliger

Researcher at University of California, San Francisco

Publications -  102
Citations -  3310

Michael A. Ohliger is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Medicine & Electromagnetic coil. The author has an hindex of 23, co-authored 87 publications receiving 2672 citations. Previous affiliations of Michael A. Ohliger include University of Pennsylvania & San Francisco General Hospital.

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

TL;DR: A calibrationless parallel imaging reconstruction method, termed simultaneous autocalibrating and k‐space estimation (SAKE), is presented, which is a data‐driven, coil‐by‐coil reconstruction method that does not require a separate calibration step for estimating coil sensitivity information.
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An introduction to coil array design for parallel MRI.

TL;DR: This review is intended to provide insight into how arrays are currently used for parallel MRI and to place into context the new innovations that are to come.
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Ultimate intrinsic signal-to-noise ratio for parallel MRI: electromagnetic field considerations.

TL;DR: The dependence of the ultimate intrinsic SNR on a variety of experimental conditions is explored and a physically intuitive explanation for the observed behavior is provided based on a comparison between the electromagnetic wavelength and the distance between aliasing points.
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Self-calibrating parallel imaging with automatic coil sensitivity extraction.

TL;DR: This work shows that it is possible to extract sensitivity calibration images directly from a fully sampled central region of a variable‐density k‐space acquisition and these images have all the features of traditional PMRI sensitivity calibrations and therefore may be used for any PMRI reconstruction technique without modification.