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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