Search Results for author: Andrew P. Leynes

Found 2 papers, 1 papers with code

Physics-driven Deep Learning for PET/MRI

no code implementations • 11 Jun 2022 • Abhejit Rajagopal, Andrew P. Leynes, Nicholas Dwork, Jessica E. Scholey, Thomas A. Hope, Peder E. Z. Larson

In this paper, we review physics- and data-driven reconstruction techniques for simultaneous positron emission tomography (PET) / magnetic resonance imaging (MRI) systems, which have significant advantages for clinical imaging of cancer, neurological disorders, and heart disease.

MRI Reconstruction

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Scan-specific Self-supervised Bayesian Deep Non-linear Inversion for Undersampled MRI Reconstruction

1 code implementation • 1 Mar 2022 • Andrew P. Leynes, Nikhil Deveshwar, Srikantan S. Nagarajan, Peder E. Z. Larson

Magnetic resonance imaging is subject to slow acquisition times due to the inherent limitations in data sampling.

Bayesian Inference MRI Reconstruction

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