Abdominal, multi-organ, auto-contouring method for online adaptive magnetic resonance guided radiotherapy: An intelligent, multi-level fusion approach.

Journal: Artificial intelligence in medicine
Published Date: Jul 24, 2018

Abstract

BACKGROUND: Manual contouring remains the most laborious task in radiation therapy planning and is a major barrier to implementing routine Magnetic Resonance Imaging (MRI) Guided Adaptive Radiation Therapy (MR-ART). To address this, we propose a new artificial intelligence-based, auto-contouring method for abdominal MR-ART modeled after human brain cognition for manual contouring.

Authors

  • Fan Liang
  • Pengjiang Qian
  • Kuan-Hao Su
    Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH, United States of America. Department of Radiology, Case Western Reserve University, Cleveland, OH, United States of America.
  • Atallah Baydoun
    Department of Internal Medicine, Case Western Reserve University School of Medicine, Cleveland, OH, USA; Department of Internal Medicine, Louis Stokes VA Medical Center, Cleveland, OH, USA; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA. Electronic address: atallah.baydoun@case.edu.
  • Asha Leisser
    Department of Radiology, Case Western Reserve University School of Medicine, Cleveland, OH, USA; Case Center for Imaging Research, University Hospitals Case Medical Center, Case Western Reserve University, Cleveland, OH, USA; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria. Electronic address: asha.leisser@meduniwien.ac.at.
  • Steven Van Hedent
  • Jung-Wen Kuo
  • Kaifa Zhao
    School of Digital Media, Jiangnan University, Wuxi, Jiangsu, China. Electronic address: zhaokaifa@qq.com.
  • Parag Parikh
    Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA. Electronic address: pparikh@radonc.wustl.edu.
  • Yonggang Lu
    Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA. Electronic address: yonggang.lu@wustl.edu.
  • Bryan J Traughber
  • Raymond F Muzic

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