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Abstract #0249

AI-enhanced comprehensive quiet neuroimaging

Ana Beatriz Solana1,2, Sagar Mandava3, Xinzeng Wang4, Marc Lebel5, David J Lythgoe2, Tobias C Wood2, Matthew Bowdler2, Steven CR Williams2, and Florian Wiesinger1,2
1GE Healthcare, Munich, Germany, 2King's College London, London, United Kingdom, 3GE Healthcare, Marietta, GA, United States, 4GE Healthcare, Houston, TX, United States, 5GE Healthcare, Calgary, AB, Canada

Synopsis

Keywords: Pulse Sequence Design, MR Value, Neuro, quiet, multicontrast, fMRI, QSMMost of today’s MRI scans are very loud and can be challenging for patients of all ages, e.g. sleeping babies, anxious children or elderly with tinnitus. Existing quiet and/or acoustic noise reduced MRI scanning solutions are in their infancy, primarily because of their incomplete nature and associated trade-offs in terms of image quality and/or scan time. Here, we present a comprehensive quiet neuroimaging solution, including standard anatomical scans (localizer, T1w-MPRAGE, T2w-FSE, T2w-FLAIR, MRA, Diffusion), quantitative parameter mapping (ADC, T2*, QSM, PD, T1, T2) and functional BOLD-fMRI. Scan time and overall image quality was improved using DL-based image reconstruction framework.

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Keywords