Browsing by Subject "phase-based motion outlier detection"

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    Application of phase-based motion outlier detection to infant dMRI
    (ISMRM, 2020) Elsaid, Nahla M. H.; Zhuo, Jiachen; Prince, Jerry L.; Wu, Yu-Chien; Radhakrishnan, Rupa; Radiology and Imaging Sciences, School of Medicine
    Detecting and eliminating motion-corrupted slices is crucial in diffusion MRI (dMRI), and particularly essential in imaging neonates. Conventional magnitude-based outlier rejection methods are intensity-based and can usually detect and correct intra-volume movement but can miss outliers in cases of small continuous motions. Phase-based methods can be used to detect motion independently, regardless of the slice-to-volume location. The phase-based method is reasonably accurate and computationally fast, and may be better suited for real-time detection of motion in dMRI. Combining magnitude and phase methods could produce the best results. Here, we evaluate the phase-based method versus the magnitude-based method in neonatal data.