Combining natural and artificial intelligence for robust automatic anatomy segmentation: Application in neck and thorax auto-contouring.

Journal: Medical physics
Published Date:

Abstract

BACKGROUND: Automatic segmentation of 3D objects in computed tomography (CT) is challenging. Current methods, based mainly on artificial intelligence (AI) and end-to-end deep learning (DL) networks, are weak in garnering high-level anatomic information, which leads to compromised efficiency and robustness. This can be overcome by incorporating natural intelligence (NI) into AI methods via computational models of human anatomic knowledge.

Authors

  • Jayaram K Udupa
    Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, United States.
  • Tiange Liu
    Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Chao Jin
    Department of General Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
  • Liming Zhao
    Medical Image Processing Group Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104 and Research Center of Intelligent System and Robotics, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
  • Dewey Odhner
    Medical Image Processing Group Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
  • Yubing Tong
    Medical Image Processing Group Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
  • Vibhu Agrawal
    Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Gargi Pednekar
    Quantitative Radiology Solutions, LLC, 3675 Market Street, Suite 200, Philadelphia, PA 19104, United States.
  • Sanghita Nag
    Quantitative Radiology Solutions, LLC, 3675 Market Street, Suite 200, Philadelphia, PA 19104, United States.
  • Tarun Kotia
    Quantitative Radiology Solutions, Philadelphia, Pennsylvania, USA.
  • Michael Goodman
    Quantitative Radiology Solutions, Philadelphia, Pennsylvania, USA.
  • E Paul Wileyto
    Center for Interdisciplinary Research on Nicotine Addiction, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
  • Dimitris Mihailidis
    Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • John Nicholas Lukens
    Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Abigail T Berman
    Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, USA.
  • Joann Stambaugh
    Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Tristan Lim
    Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Rupa Chowdary
    Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Dheeraj Jalluri
    Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Salma K Jabbour
    Department of Radiation Oncology, Rutgers University, New Brunswick, New Jersey, USA.
  • Sung Kim
    Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Meral Reyhan
    Department of Radiation Oncology, Rutgers University, New Brunswick, New Jersey, USA.
  • Clifford G Robinson
    Department of Radiation Oncology, Washington University School of Medicine, Saint Louis, Missouri.
  • Wade L Thorstad
    Washington University in St. Louis, St. Louis, Missouri, USA.
  • Jehee Isabelle Choi
    New York Proton Center, New York, New York, USA.
  • Robert Press
    Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA.
  • Charles B Simone
    Department of Radiation Oncology, University of Maryland Medical Center.
  • Joe Camaratta
    Quantitative Radiology Solutions, LLC, 3675 Market Street, Suite 200, Philadelphia, PA 19104, United States.
  • Steve Owens
    Quantitative Radiology Solutions, LLC, 3675 Market Street, Suite 200, Philadelphia, PA 19104, United States.
  • Drew A Torigian
    Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.