Minimally interactive segmentation of 4D dynamic upper airway MR images via fuzzy connectedness.

Journal: Medical physics
Published Date: May 1, 2016

Abstract

PURPOSE: There are several disease conditions that lead to upper airway restrictive disorders. In the study of these conditions, it is important to take into account the dynamic nature of the upper airway. Currently, dynamic magnetic resonance imaging is the modality of choice for studying these diseases. Unfortunately, the contrast resolution obtainable in the images poses many challenges for an effective segmentation of the upper airway structures. No viable methods have been developed to date to solve this problem. In this paper, the authors demonstrate a practical solution by employing an iterative relative fuzzy connectedness delineation algorithm as a tool.

Authors

  • Yubing Tong
    Medical Image Processing Group Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
  • Jayaram K Udupa
    Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, United States.
  • Dewey Odhner
    Medical Image Processing Group Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
  • Caiyun Wu
    Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
  • 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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