Automatic upper airway segmentation in static and dynamic MRI via anatomy-guided convolutional neural networks.

Journal: Medical physics
Published Date: Dec 2, 2021

Abstract

PURPOSE: Upper airway segmentation on MR images is a prerequisite step for quantitatively studying the anatomical structure and function of the upper airway and surrounding tissues. However, the complex variability of intensity and shape of anatomical structures and different modes of image acquisition commonly used in this application makes automatic upper airway segmentation challenging. In this paper, we develop and test a comprehensive deep learning-based segmentation system for use on MR images to address this problem.

Authors

  • Lipeng Xie
    School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China. Electronic address: xlpflyinsky@foxmail.com.
  • Jayaram K Udupa
    Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, United States.
  • Yubing Tong
    Medical Image Processing Group Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
  • Drew A Torigian
    Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Zihan Huang
    Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Rachel M Kogan
    Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • David Wootton
    The Cooper Union for the Advancement of Science and Art, New York, New York, USA.
  • Kok R Choy
    The Cooper Union for the Advancement of Science and Art, New York, New York, USA.
  • Sanghun Sin
    Division of Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York 10467.
  • Mark E Wagshul
    Department of Radiology, Gruss MRRC, Albert Einstein College of Medicine, Bronx, New York 10467.
  • Raanan Arens
    Division of Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York 10467.

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