Automatic Detection of Calcified Plaque with Acoustic Shadowing

  • Zhifan Gao
  • William Kongto Hau
  • Heye Zhang
  • Yuan-Ting Zhang
Part of the IFMBE Proceedings book series (IFMBE, volume 42)

Abstract

Intravascular ultrasound (IVUS) is one medical imaging technology using invasive ultrasound imaging modality, and has been widely used in the assessment of the extent and severity of the atherosclerosis. Automatic and accurate detection of the shape of the calcified plaque with acoustic shadowing can assist the evaluation and treatment of the pathological changes in the cardiovascular vessels. In this paper, we have developed a method to automatically detect the range of the calcified plaque with acoustic shadowing in IVUS images by combining of the Gaussian mixture model and Markov random field. The results of this study on In-Vivo IVUS images demonstrate that the proposedmethod has great potential for automatically detecting the calcified plaque with acoustic shadowing.

Keywords

Image Segmentation IVUS Calcified Plaque Acoustic Shadowing 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Zhifan Gao
    • 1
    • 2
  • William Kongto Hau
    • 3
  • Heye Zhang
    • 1
    • 2
  • Yuan-Ting Zhang
    • 1
    • 2
    • 4
  1. 1.Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhenChina
  2. 2.Key Laboratory of Biomedical information and Health EngineeringChinese Academy of SciencesBeijingChina
  3. 3.Institute of Cardiovascular Medicine and Research, LiKaShing Faculty of MedicineThe University of Hong KongHong KongChina
  4. 4.The Joint Research Centre for Biomedical Engineering, Department of Electronic EngineeringThe Chinese University of Hong KongHong kongChina

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