Deep learning approach for automated segmentation of myocardium using bone scintigraphy single-photon emission computed tomography/computed tomography in patients with suspected cardiac amyloidosis.

Abstract

Authors

• Abhijit Bhattaru
  Department of Pediatrics, UT Southwestern Medical Center, 1935 Medical District Dr, Dallas, TX, 75235, USA.
• Chaitanya Rojulpote
  Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Department of Cardiology, University of Pennsylvania, Philadelphia, PA, USA.
• Mahesh Vidula
  Department of Cardiology, University of Pennsylvania, Philadelphia, PA, USA.
• Jeffrey Duda
  Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
• Matthew T MacLean
  Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
• Sophia Swago
  Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
• Elizabeth Thompson
  Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
• James Gee
  Penn Image Computing and Science Laboratory, Department of Radiology, University of Pennsylvania, Philadelphia, PA.
• Janice Pieretti
  Department of Cardiology, University of Pennsylvania, Philadelphia, PA, USA.
• Brian Drachman
  Department of Cardiology, University of Pennsylvania, Philadelphia, PA, USA.
• Adam Cohen
  Department of Oncology, University of Pennsylvania, Philadelphia, PA, USA.
• Sharmila Dorbala
  Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Brigham and Women's Hospital, Boston, Massachusetts.
• Paco E Bravo
  Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Department of Cardiology, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: paco.bravo@pennmedicine.upenn.edu.
• Walter R Witschey
  Perelman School of Medicine, University of Pennsylvania, Philadelphia 19104, USA.

Keywords

External Resources