Revealing sub-voxel motions of brain tissue using phase-based amplified MRI (aMRI).

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Show simple item record Terem, Itamar en Ni, Wendy W en Goubran, Maged en Rahimi, Mahdi Salmani en Zaharchuk, Greg en Yeom, Kristen W en Moseley, Michael E en Kurt, Mehmet en Holdsworth, Samantha en 2018-10-15T02:46:31Z en 2018-12 en
dc.identifier.issn 0740-3194 en
dc.identifier.uri en
dc.description.abstract PURPOSE:Amplified magnetic resonance imaging (aMRI) was recently introduced as a new brain motion detection and visualization method. The original aMRI approach used a video-processing algorithm, Eulerian video magnification (EVM), to amplify cardio-ballistic motion in retrospectively cardiac-gated MRI data. Here, we strive to improve aMRI by incorporating a phase-based motion amplification algorithm. METHODS:Phase-based aMRI was developed and tested for correct implementation and ability to amplify sub-voxel motions using digital phantom simulations. The image quality of phase-based aMRI was compared with EVM-based aMRI in healthy volunteers at 3T, and its amplified motion characteristics were compared with phase-contrast MRI. Data were also acquired on a patient with Chiari I malformation, and qualitative displacement maps were produced using free form deformation (FFD) of the aMRI output. RESULTS:Phantom simulations showed that phase-based aMRI has a linear dependence of amplified displacement on true displacement. Amplification was independent of temporal frequency, varying phantom intensity, Rician noise, and partial volume effect. Phase-based aMRI supported larger amplification factors than EVM-based aMRI and was less sensitive to noise and artifacts. Abnormal biomechanics were seen on FFD maps of the Chiari I malformation patient. CONCLUSION:Phase-based aMRI might be used in the future for quantitative analysis of minute changes in brain motion and may reveal subtle physiological variations of the brain as a result of pathology using processing of the fundamental harmonic or by selectively varying temporal harmonics. Preliminary data shows the potential of phase-based aMRI to qualitatively assess abnormal biomechanics in Chiari I malformation. en
dc.format.medium Print-Electronic en
dc.language eng en
dc.relation.ispartofseries Magnetic resonance in medicine en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri en
dc.subject Foramen Magnum en
dc.subject Brain en
dc.subject Humans en
dc.subject Arnold-Chiari Malformation en
dc.subject Cerebellar Ataxia en
dc.subject Image Interpretation, Computer-Assisted en
dc.subject Magnetic Resonance Imaging en
dc.subject Phantoms, Imaging en
dc.subject Movement en
dc.subject Algorithms en
dc.subject Computer Simulation en
dc.subject Image Processing, Computer-Assisted en
dc.subject Video Recording en
dc.subject Adult en
dc.subject Child, Preschool en
dc.subject Female en
dc.subject Male en
dc.subject Healthy Volunteers en
dc.title Revealing sub-voxel motions of brain tissue using phase-based amplified MRI (aMRI). en
dc.type Journal Article en
dc.identifier.doi 10.1002/mrm.27236 en
pubs.issue 6 en
pubs.begin-page 2549 en
pubs.volume 80 en
dc.rights.holder Copyright: The author en
pubs.end-page 2559 en
pubs.publication-status Published en
dc.rights.accessrights en
pubs.subtype Research Support, Non-U.S. Gov't en
pubs.subtype research-article en
pubs.subtype Journal Article en
pubs.subtype Research Support, N.I.H., Extramural en
pubs.elements-id 750345 en Medical and Health Sciences en Medical Sciences en Anatomy and Medical Imaging en
dc.identifier.eissn 1522-2594 en
pubs.record-created-at-source-date 2018-05-31 en
pubs.dimensions-id 29845645 en

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