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Abstract #0979

Prospective Motion Detection and Re-acquisition in Diffusion MRI using Phase image-based Method (PITA-MDD)

Xiao Liang1, Pan Su2, Sunil G. Patil2, Nahla M.H. Elsaid3, Steve Roys1, Maureen L. Stone4, Rao P. Gullapalli1, Jerry L. Prince5,6, and Jiachen Zhuo1
1Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 2Siemens Medical Solutions USA Inc, Malvern, PA, United States, 3Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States, 4Department of Neural and Pain Sciences and Department of Orthodontics, University of Maryland School of Dentistry, Baltimore, MD, United States, 5Deptartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States, 6Department of Computer Science, Johns Hopkins University, Baltimore, MD, United States

We have applied phase image-based motion detection (PITA-MDD) in real-time prospective motion detection and re-acquisition. During image reconstruction, PITA-MDD motion detection is performed on each slice. A diffusion-weighted volume will be re-acquired if number of motion slices exceeds the pre-set threshold. dMRI data were acquired on a volunteer using a prospective PITA-MDD sequence for the brain and the tongue. The detected motion corrupted data were consistent with subject’s motion. Denser tongue muscle fibers were visible after replacing motion volumes with re-acquired volumes. Prospective PITA-MDD motion detection and re-acquisition has improved dMRI acquisition, especially in challenging areas, such as the tongue.

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