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SUMMARY:ESE Seminar: "Accelerating MRI with Deep Learning"
DESCRIPTION:Magnetic Resonance Imaging (MRI) can be accelerated by sampling below the Shannon-Nyquist rate via compressed sensing techniques. In this talk\, I will consider the problem of optimizing the under-sampling pattern in a data-driven fashion\, which has been an open problem for over a decade. For a given sparsity constraint\, our method optimizes the under-sampling pattern and reconstruction model\, using a computationally efficient end-to-end deep-learning strategy. We call our method Learning-based Optimization of the Under-sampling PattErn\, or LOUPE. Our experiments with brain and knee MRI scans show that the LOUPE-derived pattern can yield significantly more accurate reconstructions compared to standard under-sampling schemes. I will also present results for prospectively collected in-vivo images that demonstrate the practical utility of LOUPE in speeding up MRI scans.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-accelerating-mri-with-deep-learning/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Graduate,Undergraduate
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
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