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Abstract #2657

Motion correction with subspace-based self-navigation for combined angiography, structural and perfusion imaging using ASL

Qijia Shen1, Wenchuan Wu1, Joseph Woods1, Mark Chiew2,3, Yang Ji1, and Thomas Okell1
1University of Oxford, Oxford, United Kingdom, 2Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 3Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada

Synopsis

Keywords: Motion Correction, Motion Correction

Motivation: Perfusion and angiographic images using arterial spin labeling (ASL) are particularly susceptible to head motion.

Goal(s): To correct motion for Combined Angiography, Structural and Perfusion using Radial Imaging and ASL (CASPRIA) and reduce motion induced aliasing and blurriness for angiographic, perfusion and structural imaging.

Approach: 3D navigators are reconstructed after each ASL preparation using subspace to account for varying contrast. These are used to correct the raw data for motion. A joint label and control reconstruction was formulated to generate motion corrected perfusion and angiographic images.

Results: Motion induced artefacts and blurriness were greatly reduced in angiographic, structural and perfusion data.

Impact: Motion robustness of CASPRIA sequence was improved, facilitating future clinical application with less cooperative patients.

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Keywords