대한의용생체공학회:의공학회지 (Journal of Biomedical Engineering Research)

  • 제31권6호
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  • Pages.427-433
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  • 2010
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  • 1229-0807(pISSN)
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  • 2288-9396(eISSN)
대한의용생체공학회 (The Korean Society of Medical and Biological Engineering)
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New Seed Detection by Shape Analysis for Construction of Vascular Structures

  • Shim, Hack-Joon (School of Electrical Engineering, Automation and Systems Research Institute (ASRI) BK21 Research Division for Information Technology) ;
  • Lee, Hyun-Joon (School of Electrical Engineering, Automation and Systems Research Institute (ASRI) BK21 Research Division for Information Technology) ;
  • Yun, Il-Dong (Department of Digital and Information Engineering, Hankuk University of Foreign Studies) ;
  • Lee, Sang-Uk (School of Electrical Engineering, Automation and Systems Research Institute (ASRI) BK21 Research Division for Information Technology)
  • 투고 : 2010.10.11
  • 심사 : 2010.12.01
  • 발행 : 2010.12.31
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초록

Although tracking methods are efficient and popular for vessel segmentation, they require a seed to initiate an instance of tracking. In this paper, a new method to detect new seeds for tracking of arterial segments from CT angiography (CTA) and to construct a vascular structure is proposed. The proposed algorithm is based on shape analysis of connected components in a volume of interest around a vessel segment which was already extracted by tracking. The eigenvalues of the covariance matrix are used as the shape features for detection. The experimental results on actual clinical data showed that the results totally revealed the arterial tree not hindered by bone or veins. In visual comparison to a method which combines registration and subtraction of both pre-contrast and post-contrast CT volumes, the proposed method produced comparable results to the reference method and were confirmed of its feasibility for clinical use of reducing the cost and burden of patients.

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참고문헌

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