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Interactive image segmentation for ultrasound vascular imaging

초음파 혈관 영상의 상호적 영상 분할

  • Lee, Onseok (Integrated Medical Imaging Laboratory, Department of Radiological Science, Gimcheon University) ;
  • Kim, Mingi (3D Information Processing Laboratory, Department of Electronics and Information Engineering, Korea University) ;
  • Ha, Seunghan (The Center for Ultrasound Molecular Imaging and Therapeutics, Heart and Vascular Institute, University of Pittsburgh and University of Pittsburgh Medical Center)
  • 이언석 (김천대학교 방사선학과 집적의료영상연구실) ;
  • 김민기 (고려대학교 전자및정보공학부 3차원정보처리연구실) ;
  • 하승한 (피츠버그대학교 의과대학 초음파 분자영상 및 치료센터)
  • Received : 2012.08.15
  • Accepted : 2012.11.28
  • Published : 2012.12.31

Abstract

Image segmentation for object to extract data from ultrasound acquired is an essential preprocessing step for the effective diagnosis. Various image segmentation methods have been studied. In this study, interactive image segmentation method by graph cut algorithm is proposed to develop a variety of applications of vascular ultrasound imaging and diagnostics. General imaging and vascular ultrasound imaging segmentation by entering constrain condition such as foreground and background. In the future it will be able to develop new ultrasound diagnostics.

Keywords

Segmentation;Ultrasound;Graph cut