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. Prince^5,6, 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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