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An MRI‐compatible platform for one‐dimensional motion management studies in MRI
Author(s) -
Nofiele Joris,
Yuan Qing,
Kazem Mohammad,
Tatebe Ken,
Torres Quinn,
Sawant Amit,
Pedrosa Ivan,
Chopra Rajiv
Publication year - 2016
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.25903
Subject(s) - imaging phantom , computer science , motion compensation , motion (physics) , magnetic resonance imaging , computer vision , motion simulator , real time mri , image quality , biomedical engineering , artificial intelligence , nuclear medicine , radiology , medicine , image (mathematics)
Purpose Abdominal MRI remains challenging because of respiratory motion. Motion compensation strategies are difficult to compare clinically because of the variability across human subjects. The goal of this study was to evaluate a programmable system for one‐dimensional motion management MRI research. Methods A system comprised of a programmable motorized linear stage and computer was assembled and tested in the MRI environment. Tests of the mutual interference between the platform and a whole‐body MRI were performed. Organ trajectories generated from a high‐temporal resolution scan of a healthy volunteer were used in phantom tests to evaluate the effects of motion on image quality and quantitative MRI measurements. Results No interference between the motion platform and the MRI was observed, and reliable motion could be produced across a wide range of imaging conditions. Motion‐related artifacts commensurate with motion amplitude, frequency, and waveform were observed. T2 measurement of a kidney lesion in an abdominal phantom showed that its value decreased by 67% with physiologic motion, but could be partially recovered with navigator‐based motion‐compensation. Conclusion The motion platform can produce reliable linear motion within a whole‐body MRI. The system can serve as a foundation for a research platform to investigate and develop motion management approaches for MRI. Magn Reson Med 76:702–712, 2016. © 2015 Wiley Periodicals, Inc.