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2017 GTC San Jose

S7415 - Enhance Multi-Contrast MRI Reconstruction for Improved Diagnosis with Deep Learning Powered by NVIDIA GPUs

Session Speakers
Session Description

Advanced computation powered by GPUs is changing the clinical decision-making process. We'll present an exciting example of using NVIDIA GPUs for multi-contrast magnetic resonance imaging exams. Neurological disorders result in great clinical challenges and high societal burdens. Multi-contrast MRI exams are frequently used for diagnosis because the various tissue contrasts provides complementary diagnosis information to distinguish normal tissue from pathology. However, the cost of acquiring these multiple sequences is extensive scanning time, which significantly increases both the diagnosis cost and patients' discomfort and limit the acquired image quality. We'll propose a new approach to accelerate multi-contrast imaging using a deep learning approach powered by GPUs. Validated on both patients and healthy subjects, we'll demonstrate that we can significantly reduce scanning time while improving image resolution and quality and preserving the diagnostic information.


Additional Session Information
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Talk
AI in Healthcare Summit Deep Learning and AI Healthcare and Life Sciences Medical Imaging Video and Image Processing
Healthcare & Life Sciences Higher Education / Research
25 minutes
Session Schedule