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Properties of a 2D fat navigator for prospective image domain correction of nodding motion in brain MRI
Author(s) -
Skare Stefan,
Hartwig Axel,
Mårtensson Magnus,
Avventi Enrico,
Engström Mathias
Publication year - 2015
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.25234
Subject(s) - acceleration , sagittal plane , distortion (music) , calibration , signal (programming language) , nuclear magnetic resonance , magnetic resonance imaging , standard deviation , mathematics , computer science , artificial intelligence , computer vision , physics , medicine , statistics , radiology , amplifier , computer network , bandwidth (computing) , classical mechanics , programming language
Purpose A two‐dimensional fat navigator (FatNav) image is proposed, designed for future use as a means of prospective motion correction of head‐nodding motion. Methods The proposed FatNav module comprised a fat‐selective excitation, followed by an accelerated echo planar imaging readout played out in one central sagittal plane. Step‐wise motion experiments with different acceleration factors, blip polarity, and matrix sizes were performed. The accuracy of motion estimates derived from the FatNav data was assessed using water‐based, distortion‐free, spoiled‐gradient echo images as the gold standard. The duration of the FatNav module was 10 ms to 20 ms. Volunteer data were acquired on a 3T system using an 8‐channel radiofrequency coil. Methods It is shown that acceleration factors of R = 8 are feasible for FatNav data. Best results are obtained when parallel imaging calibration data is matched in terms of both geometric distortions and signal content. For head rotations up to about 15 mm and 20 degrees, mean absolute errors of the motion estimates using FatNav data were about 0.5 mm and 1 degree. Conclusion FatNav is advantageous in that it leaves most of the brain water magnetization unaffected and left to the host pulse sequence. Furthermore, high acceleration factors are possible with FatNav, which reduces estimation bias and the navigator duration. Magn Reson Med 73:1110–1119, 2015. © 2014 Wiley Periodicals, Inc.