Phantom-Based Ultrasound-ECG Deep Learning Framework for Prospective Cardiac Computed Tomography.

Journal: IEEE transactions on bio-medical engineering
Published Date:

Abstract

OBJECTIVE: We present the first multimodal deep learning framework combining ultrasound (US) and electrocardiography (ECG) data to predict cardiac quiescent periods (QPs) for optimized computed tomography angiography gating (CTA).

Authors

  • Shambavi Ganesh
  • Brooks D Lindsey
  • Srini Tridandapani
    Department of Radiology and Imaging Sciences, Emory University School of Medicine, Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia.
  • Pamela T Bhatti

Keywords

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