Interactive lung segmentation in abnormal human and animal chest CT scans.

Research output: Contribution to journalArticle

Abstract

Many medical image analysis systems require segmentation of the structures of interest as a first step. For scans with gross pathology, automatic segmentation methods may fail. The authors' aim is to develop a versatile, fast, and reliable interactive system to segment anatomical structures. In this study, this system was used for segmenting lungs in challenging thoracic computed tomography (CT) scans.

Details

Authors
  • Thessa T J P Kockelkorn
  • Cornelia M Schaefer-Prokop
  • Gracijela Bozovic
  • Arrate Muñoz-Barrutia
  • Eva M van Rikxoort
  • Matthew S Brown
  • Pim A de Jong
  • Max A Viergever
  • Bram van Ginneken
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Biophysics
Original languageEnglish
Pages (from-to)417-429
JournalMedical Physics
Volume41
Issue number8
Publication statusPublished - 2014
Publication categoryResearch
Peer-reviewedYes