Multi-organ segmentation of the head and neck area: an efficient hierarchical neural networks approach.

Journal: International journal of computer assisted radiology and surgery
Published Date: Mar 7, 2019

Abstract

PURPOSE: In radiation therapy, a key step for a successful cancer treatment is image-based treatment planning. One objective of the planning phase is the fast and accurate segmentation of organs at risk and target structures from medical images. However, manual delineation of organs, which is still the gold standard in many clinical environments, is time-consuming and prone to inter-observer variations. Consequently, many automated segmentation methods have been developed.

Authors

  • Elias Tappeiner
    Department of Biomedical Computer Science and Mechatronics, University for Health Sciences, Medical Informatics and Technology, 6060, Hall, Tyrol, Austria. elias.tappeiner@umit.at.
  • Samuel Pröll
    Department of Biomedical Computer Science and Mechatronics, University for Health Sciences, Medical Informatics and Technology, 6060, Hall, Tyrol, Austria.
  • Markus Hönig
    Department of Biomedical Computer Science and Mechatronics, University for Health Sciences, Medical Informatics and Technology, 6060, Hall, Tyrol, Austria.
  • Patrick F Raudaschl
    Department of Biomedical Computer Science and Mechatronics, University for Health Sciences, Medical Informatics and Technology, 6060, Hall, Tyrol, Austria.
  • Paolo Zaffino
    Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, 88100, Catanzaro, Italy.
  • Maria F Spadea
    Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, 88100, Catanzaro, Italy.
  • Gregory C Sharp
    Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
  • Rainer Schubert
    Department of Biomedical Computer Science and Mechatronics, University for Health Sciences, Medical Informatics and Technology, 6060, Hall, Tyrol, Austria.
  • Karl Fritscher
    Department of Biomedical Computer Science and Mechatronics, University for Health Sciences, Medical Informatics and Technology, 6060, Hall, Tyrol, Austria.

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