Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
권호 표지

Detection of Vessel Contours in Coronary Arteriograms

관상동맥 영상에서의 혈관 경계 검출

  • 엄경식 (인하대학교 공과대학 전자공학과) ;
  • 정재호 (인하대학교 공과대학 전자공학과)
  • Published : 1995.12.01
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we present an algorithm for the detection of blood vessel contours in coronary aiteriograms. The proposed algorithm is based on both matched filtering and adaptive tracking. The proposed algorithm has merits in that it overcomes the bifurcation section problem as well as narrow vessel problem. Moreover, the algorithm has fast performance as well as insensitivity to noise.

본 논문은 관상동맥 영상에서 혈관 경계 검출에 대한 알고리듬을 제안한다. 제안된 알고리듬은 정합필터링과 적응추적에 기반한 방법이다. 제안된 알고리듬은 분기부분 문제와 직경이 작은 혈관 부분의 문제점을 해결하였다. 또한 빠른 처리기간과 잡음에 강인한 성능을 가지고 있다.

Keywords

References

  1. IEEE Trans. Medical Imaging v.MI-14 A Nonsmoothing Approach to the Estimation of Vessel Contours in Angiograms Mario A.T.Figueiredo;Jose M.N.Leitao
  2. IEEE Trans. Medical Imaging v.MI-17 Dynamic Programming for Detecting, Tracking, and Matching Deformable Contours D.Geiger;A.Gupta;L.A.Costa;J.Vlontzos
  3. IEEE Trans. Medical Imaging v.MI-8 Automated Identification of Vessel Contours in Coronary Arteriograms by an Adaptive Tracking Algorithm Ying Sun
  4. IEEE Trans. Medical Imaging v.MI-14 Robust Simultaneous Detection of Coronary Borders in Complex Images M.Sonka;M.D.Winniford;M.Collins
  5. IEEE Trans. on Acoust., Speech, and Signal Processing v.ASSP-36 A New Method for Estimation of Coronary Artery Dimensions in Angiograms T.N.Pappas;J.S.Lim
  6. Fundamentals of Digital Image Processing A.K.Jain
  7. Principles of Communications R.E.Ziemer;W.H.Tranter
  8. IEEE Trans. Medical Imaging v.MI-6 High Precision Quantitaive Angiography T.Sandor;A.D'Adamo;W.B.Hanlon;J.R.Spears
  9. IEEE Trans. Syst., Man, and Cybern. v.SMC-9 no.1 A Threshold Selection Method from Gray-level Histogram N.Ostu