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Abstract| Volume 16, ISSUE 4, SUPPLEMENT , S2, July 2022

402 Artificial Intelligence Based CT Quantification Of Left Ventricular Mass

DOI:https://doi.org/10.1016/j.jcct.2022.06.007
402 Artificial Intelligence Based CT Quantification Of Left Ventricular Mass
Previous Article401 Deepheartct: A Fully Automatic Hybrid Structure Segmentation Framework Based On Atlas, Reverse Ranking, And Convolutional Neural Network For Computed Tomography Angiography
Next Article403 Comparison Of Iterative Reconstruction And Post Reconstruction Deep Learning Noise Reduction Methods Utilizing Philips Brilliance CT 256 Phantom Data And Clinical Images
      Introduction: Left ventricular (LV) mass is a well-established predictor of major adverse cardiovascular events. Cardiac magnetic resonance is the gold-standard for LV mass measurement, however cardiac computed tomography angiography (CCTA) is an equally accepted modality and has been shown to have prognostic value. In this study, we aimed to develop, validate, and test a fully automated artificial intelligence based system capable of quantifying LV mass on CCTA.
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      DOI: https://doi.org/10.1016/j.jcct.2022.06.007

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