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Abstract #3402

Deep learning assisted quantification of myocardial oxygen extraction fraction

Ran Li1, Cihat Eldeniz1, Thomas Schindler1, Linda Peterson1, Pamela Woodard1, and Jie Zheng1
1Washington University in St. Louis, St. Louis, MO, United States

Synopsis

Keywords: Quantitative Imaging, MyocardiumA previously developed MRI method for quantitative myocardial oxygen extraction mapping showed promising results, but image quality suffered from distortion and inhomogeneity artifacts. A new deep learning-based approach was developed and tested in healthy subjects. This preliminary study showed excellent reproducibility and consistent myocardial oxygen extraction values with other reported data using positron emission tomography methods.

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