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Abstract #1242

Multi-Contrast Whole Brain MRI: Optimization of Imaging Parameters and Motion Compensation

Jing Liu1, Angela Jakary1, Duan Xu1, and Janine Lupo1
1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States

Multi-contrast anatomical brain MR images are widely used for tissue characterization and lesion detection, by applying multiple sequences. We developed a single continuous data acquisition applied with multiple inversion pulses, allowing multi-contrast imaging with high data acquisition efficiency. In order to achieve accurate tissue segmentation based on the multi-contrast images, imaging parameters are optimized based on simulated signal evolutions for achieving good image quality and accurate tissue characterization. A motion compensation approach for 3D whole-brain, multi-contrast MRI, was developed by exploiting the flexible data sampling strategy that allows for arbitrary combination of data collected throughout acquisition time and inversion times.

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