Premium
Echo‐planar imaging with prospective slice‐by‐slice motion correction using active markers
Author(s) -
Ooi Melvyn B.,
Krueger Sascha,
Muraskin Jordan,
Thomas William J.,
Brown Truman R.
Publication year - 2011
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.22780
Subject(s) - distortion (music) , echo planar imaging , magnetic resonance imaging , computer science , signal (programming language) , echo (communications protocol) , computer vision , image quality , kinematics , artificial intelligence , planar , nuclear magnetic resonance , physics , image (mathematics) , medicine , radiology , computer network , amplifier , bandwidth (computing) , classical mechanics , programming language , computer graphics (images)
Head motion is a fundamental problem in functional magnetic resonance imaging and is often a limiting factor in its clinical implementation. This work presents a rigid‐body motion correction strategy for echo‐planar imaging sequences that uses micro radiofrequency coil “active markers” for real‐time, slice‐by‐slice prospective correction. Before the acquisition of each echo‐planar imaging‐slice, a short tracking pulse‐sequence measures the positions of three active markers integrated into a headband worn by the subject; the rigid‐body transformation that realigns these markers to their initial positions is then fed back to dynamically update the scan‐plane, maintaining it at a fixed orientation relative to the head. Using this method, prospectively‐corrected echo‐planar imaging time series are acquired on volunteers performing in‐plane and through‐plane head motions, with results demonstrating increased image stability over conventional retrospective image‐realignment. The benefit of this improved image stability is assessed in a blood oxygenation level dependent functional magnetic resonance imaging application. Finally, a non‐rigid‐body distortion‐correction algorithm is introduced to reduce the remaining signal variation. Magn Reson Med, 2011. © 2011 Wiley‐Liss, Inc.