The Endocardial Boundary Detection based on Statistical Charact'eristics of Echocardiographic Image

초음파 영상의 통계적 특성에 근거한 심내벽 윤곽선 검출

  • Won, Chul-Ho (Department of Electronics, Kyungpook National University) ;
  • Kim, Myoung-Nam (Medical Engineering, Kyungpook National University Hospital) ;
  • Cho, Jin-Ho (Department of Electronics, Kyungpook National University)
  • Published : 1996.09.01

Abstract

The researches to acquire diagnostic parameters from ultrasonic images are advanced with the progress of the digital image processing technique. Especially, the detection of endocardial boundary is very important in ultrasonic images, because endocardial boundary is used as a clinical parameter to estimate both the cardiac area and the variation of cardiac volume. Various methods to detect cardiac boundary are proposed, but these are insufficient to detect boundary. In this paper, an algorithm that detects the endocardial boundary, expanding the cavity region from the center using statistical information, is proposed The value of mean and sty:nd, wd deviation in cavity region is lower than those in muscle re- gion. Therefore, if we define the multiplication of mean and standard deviation as homogeneous coefficient, it can lead to conclusion that the pixels with small variation of these coefficleno are cavity region, and extraction of endocardial boundary from cavity region is possible. The proposed method detected endocardial boundary more effectively than edge based or threshold based method and is robuster to noise than radial searching method that has high dependency for center position.

Keywords

References

  1. SPIE v.1445 Quantatitive analysis of cardiac imaging using expert systems K. J. Dreyer
  2. IEEE Trans. Biomed. Eng. v.BME-29 no.8 An approach to optimal threshold selection on sequence of two-dimensional echocardiographic images L. Zhang;E. A. Geiser
  3. 의공학회 춘계 학술대회 논문집 가변 문턱치를 갖는 엔트로피 연산자를 이용한 2D 심초음파도의 에지 검출 구성모 (등)
  4. The American Journal of Cardiology v.53 Computer-assisted edge detection in two dimensional echo-cardiography: Comparision with anatomic data S. M. Collins
  5. IEEE Trans. on Med. Imaging v.7 Detecting left ventricular endocardial and epicardial boundaries by digital two-dimensional echocardiography C. H. Chu;E. J. Delp;A. J. Buda
  6. Proc. SICE Automatic detection of left ventricular contour using Hough transform with weighted model from 2D echocardiogram J. H. Cho;M. N. Kim
  7. Proc. Computer in Cardiology Automated endocardial definition of 2-D echocardiograms: A comparision of four standard edge detectors and improved thresholding techniques D. T. Linker
  8. IEEE Trans. on Med. Imaging v.MI-6 Knowledge-based image analysis for automated boundary extraction of transophageal echocardiographic left ventricular image C. Y. Han;K. N. Lin;W. G. Wee;R. M. Mintz;D. T. Porembk
  9. IEEE Trans. on sonics and ultrasonics v.1 Speckle in ultrasound B-mode scans B. Burckhardt
  10. IEEE Trans. on systems, man, and cybernetics v.1 A simple speckle smoothing alogorithm for synthetic aperture radar images J. S. Lee
  11. IEEE Trans. on circuits and systems v.36 An adaptive weighted median filter for speckle suppression in medical ultrasonic images T. Loupas;W. N. McDicken