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

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.