000261963 001__ 261963
000261963 005__ 20181221182138.0
000261963 022__ $$a0740-3194
000261963 022__ $$a1522-2594
000261963 02470 $$a000450220400010$$2isi
000261963 0247_ $$a10.1002/mrm.27214$$2doi
000261963 037__ $$aARTICLE
000261963 245__ $$aControlling motion artefact levels in MR images by suspending data acquisition during periods of head motion
000261963 269__ $$a2018-12-01
000261963 260__ $$c2018-12-01
000261963 336__ $$aJournal Articles
000261963 520__ $$aPurpose: Head movements are a major source of MRI artefacts. Prospective motion correction techniques significantly improve data quality, but strong motion artefacts may remain in the data. We introduce a framework to suspend data acquisition during periods of head motion over a predefined threshold. Methods: Data was acquired with prospective motion correction and an external optical tracking system. A predictor of motion impact was introduced that accounts for the amplitude of the signal acquired at the time of the motion. From this predictor, a threshold was defined to trigger the suspension of data acquisition during periods of motion. The framework was tested on 5 subjects, 2 motion behaviors, and 2 head coils (20 and 64 channels). Results: The best improvements in data quality were obtained for a threshold value of 0, equivalent to suspending the acquisition based on head speed alone, at the cost of a long prolongation of scan time. For threshold values similar to 3.5e(-4), image quality was largely preserved, and prolongation of scan time was minimal. Artefacts occasionally remained with the 64-channel head coil for all threshold values, seemingly due to head movement in the sharp sensitivity profile of this coil. Conclusion: The proposed suspension strategy is more efficient than relying on head speed alone. The threshold for suspension of data acquisition governs the tradeoff between image degradation due to motion and prolonged scan time, and can be tuned by the user according to the desired image quality and participant's tolerability.
000261963 650__ $$aRadiology, Nuclear Medicine & Medical Imaging
000261963 650__ $$aRadiology, Nuclear Medicine & Medical Imaging
000261963 6531_ $$aacquisition suspension
000261963 6531_ $$ahead movement
000261963 6531_ $$amri artefacts
000261963 6531_ $$amulti-parameter mapping
000261963 6531_ $$aprospective motion correction
000261963 6531_ $$aquantitative mri
000261963 6531_ $$aselective reacquisition
000261963 6531_ $$avolumetric navigators
000261963 6531_ $$ahuman brain
000261963 6531_ $$avalidation
000261963 6531_ $$ainhomogeneity
000261963 6531_ $$atracking
000261963 6531_ $$aparallel
000261963 6531_ $$acortex
000261963 6531_ $$afield
000261963 6531_ $$amaps
000261963 700__ $$aCastella, Remi
000261963 700__ $$aArn, Lionel
000261963 700__ $$aDupuis, Estelle
000261963 700__ $$aCallaghan, Martina F.
000261963 700__ $$aDraganski, Bogdan
000261963 700__ $$aLutti, Antoine
000261963 773__ $$q2415-2426$$k6$$j80$$tMagnetic Resonance in Medicine
000261963 8560_ $$fbeatrice.marselli@epfl.ch
000261963 909C0 $$0252557$$pIPHYS$$xU13149
000261963 909CO $$particle$$ooai:infoscience.epfl.ch:261963$$pSB
000261963 961__ $$afantin.reichler@epfl.ch
000261963 973__ $$aEPFL$$sPUBLISHED$$rREVIEWED
000261963 980__ $$aARTICLE
000261963 981__ $$aoverwrite