High‐resolution, large dynamic range field map estimation

Joseph Dagher; Timothy Reese; Ali Bilgin

doi:10.1002/mrm.24636

journal article Feb 11, 2013

High‐resolution, large dynamic range field map estimation

Joseph Dagher

Timothy Reese Ali Bilgin

Magnetic Resonance in Medicine Vol. 71 No. 1 pp. 105-117 · Wiley

View at Publisher Save 10.1002/mrm.24636

Abstract

PurposeWe present a theory and a corresponding method to compute high‐resolution field maps over a large dynamic range.Theory and MethodsWe derive a closed‐form expression for the error in the field map value when computed from two echoes. We formulate an optimization problem to choose three echo times which result in a pair of maximally distinct error distributions. We use standard field mapping sequences at the prescribed echo times. We then design a corresponding estimation algorithm which takes advantage of the optimized echo times to disambiguate the field offset value.ResultsWe validate our method using high‐resolution images of a phantom at 7T. The resulting field maps demonstrate robust mapping over both a large dynamic range, and in low SNR regions. We also present high‐resolution offset maps in vivo using both, GRE and multiecho gradient echo sequences. Even though the proposed echo time spacings are larger than the well known phase aliasing cutoff, the resulting field maps exhibit a large dynamic range without the use of phase unwrapping or spatial regularization techniques.ConclusionWe demonstrate a novel three‐echo field map estimation method which overcomes the traditional noise‐dynamic range trade‐off. Magn Reson Med 71:105–117, 2014. © 2013 Wiley Periodicals, Inc.

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Details

Published: Feb 11, 2013
Vol/Issue: 71(1)
Pages: 105-117
License: View

Authors

J

Joseph Dagher

Department of Radiology Massachusetts General Hospital Harvard Medical School Boston Massachusetts USA; Department of Electrical and Computer Engineering University of Arizona Tucson Arizona USA

T

Timothy Reese

Department of Radiology Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Harvard Medical School Boston Massachusetts USA

A

Ali Bilgin

Department of Electrical and Computer Engineering University of Arizona Tucson Arizona USA; Department of Biomedical Engineering and the BIO5 Institute University of Arizona Tucson Arizona USA

Cite This Article

Joseph Dagher, Timothy Reese, Ali Bilgin (2013). High‐resolution, large dynamic range field map estimation. Magnetic Resonance in Medicine, 71(1), 105-117. https://doi.org/10.1002/mrm.24636

High‐resolution, large dynamic range field map estimation

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