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Abstract #5214

More accurate synthetic MRI to shorten clinical protocols

Fei Xu1, Edwin Versteeg1, Oscar van der Heide1, Kyung Min Nam2, Stefano Mandija1, Martin B. Schilder1, Pierre A.J.T Robe3, Tom J. Snijders3, Cornelis A.T. van den Berg1, and Alessandro Sbrizzi1
1Computational Imaging Group for MR diagnostics & therapy, Center for Image Sciences, UMC Utrecht, Utrecht, Netherlands, 2Center for Image Sciences, Department of Radiology, UMC Utrecht, Utrecht, Netherlands, 3Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, UMC Utrecht, Utrecht, Netherlands

Synopsis

Keywords: Synthetic MR, Analysis/Processing, Brain MRI; FLAIR; MR-STAT

Motivation: Synthetic MRI derived from quantitative MRI scans do not always synthetize accurate contrasts for some type of sequences (e.g., FLAIR, post-gadolinium T1w).

Goal(s): To achieve accurate synthetic MRI within a short scan to accelerate standard clinical protocols.

Approach: We developed an ultra-highly undersampled compressed sensing (CS) scheme that can generate accurate contrast for FLAIR and post-gadolinium T1w sequences, utilizing a patient specific physics-based synthetic MRI as prior in the CS reconstruction.

Results: The proposed hybrid CS synthetization of FLAIR and post-gadolinium T1w scans from five neurological patients indicate improved tissue depiction, with a particular emphasis on lesion enhancement and overall anatomical structure.

Impact: This improved synthesis approach, using an ultra-highly undersampled hybrid CS protocol, achieves more accurate contrast synthetization and enhances the potential of synthetic MRI for shorter clinical scan times.

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