Autocalibrated coil sensitivity estimation for parallel imaging.

Mark A Griswold; Felix Breuer; Martin Blaimer; Stephan Kannengiesser; Robin M Heidemann; Matthias Mueller; Mathias Nittka; Vladimir Jellus; Berthold Kiefer; Peter M Jakob

doi:10.1002/nbm.1048

PubMed · 16705632

Autocalibrated coil sensitivity estimation for parallel imaging.

Mark A Griswold·Felix Breuer·Martin Blaimer·Stephan Kannengiesser·Robin M Heidemann·Matthias Mueller·Mathias Nittka·Vladimir Jellus·Berthold Kiefer·Peter M Jakob

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Abstract

Parallel imaging has proven to be a robust solution to the problem of acquisition speed in MRI. These methods are based on extracting spatial information from an array of multiple surface coils in order to speed up image acquisition. One of the most essential elements of any parallel imaging method is the information describing the coil sensitivity distribution throughout the sample. This paper covers some of the advanced methods to obtain coil sensitivity-related information, focusing particularly on the class of methods referred to as autocalibrating. These methods all acquire the data for coil sensitivity estimation directly before, during or directly after the reduced data acquisition. After a review of standard methods for coil sensitivity estimation, some of the basic and advanced autocalibrating methods are reviewed, and some example applications shown.

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Algorithms Calibration Equipment Design Equipment Failure Analysis Image Enhancement Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Information Storage and Retrieval Magnetic Resonance Imaging Numerical Analysis, Computer-Assisted Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted Transducers Journal Article Research Support, Non-U.S. Gov't Review

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Mark A Griswold, Felix Breuer, Martin Blaimer, Stephan Kannengiesser, Robin M Heidemann, Matthias Mueller, Mathias Nittka, Vladimir Jellus, Berthold Kiefer, Peter M Jakob. 2006. Autocalibrated coil sensitivity estimation for parallel imaging.. https://doi.org/10.1002/nbm.1048

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