Abstract #1288

Phase-based Motion Detection for Diffusion Magnetic Resonance Imaging

Nahla M H Elsaid¹, Steven Roys¹, Maureen Stone², Rao P Gullapalli¹, Jerry L Prince³, and Jiachen Zhuo¹

¹Diagnostic Radiology, University of Maryland School of Medicine, Baltimore, MD, United States, ²Neural and Pain Sciences and Orthodontics, University of Maryland Dental School, Baltimore, MD, United States, ³Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States

Diffusion-weighted imaging is sensitive to subject motion. Even small subject motion induces dramatic spin phase changes, allowing phase map to have higher sensitivity than the magnitude images to detect subtle motion. In this study, we derived metrics based on the Haralick features in DWI phase maps for automatic motion detection and data rejection in diffusion-weighted imaging data. The motion detection method is validated against motion tracked by an external electromagnetic motion tracking sensor.

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