Detecting myocardial boundaries of left ventricle from a single frame 2DE image

Abstract A new method for detecting myocardial boundaries of the left ventricle from a short-axis viewed, two-dimensional echocardiographic (2DE) image is presented. The method extracts the outer boundary based on an ideal echo-intensity image model and relaxation algorithm, while the endocardial border is detected by the principle employed by Klingler et al. with some modifications. The only a priori information needed in this method is to assign the approximated contraction center of the left ventricle. Neither the searching limits used in the radial search method nor information about rough positions of myocardial borders used in a plan-based detection scheme is required. Practical examples are given and illustrated. Methods for the generalization of the proposed method are discussed.

[1]  Berthold K. P. Horn.  Robot vision , 1986, MIT electrical engineering and computer science series.

[2]  Steve M. Collins,et al.  Digital signal and image processing in echocardiography , 1985 .

[3]  Samuel Sideman,et al.  Three-dimensional computer simulation of the cardiac system , 1988, Proc. IEEE.

[4]  Azriel Rosenfeld,et al.  Point pattern matching by relaxation , 1980, Pattern Recognit..

[5]  C. Feldman,et al.  Quantitative Detection of Regional Left Ventricular Contraction Abnormalities by Two‐dimensional Echocardiography.: I. Analysis of Methods , 1981, Circulation.

[6]  Drew McDermott,et al.  Introduction to artificial intelligence , 1986, Addison-Wesley series in computer science.

[7]  Shinichi Tamura,et al.  Three-dimensional reconstruction of echocardiograms based on orthogonal sections , 1985, Pattern Recognit..

[8]  Hiromitsu Yamada,et al.  A parallel architecture for relaxation operations , 1988, Pattern Recognition.

[9]  G. Mailloux,et al.  Computer Analysis of Heart Motion from Two-Dimensional Echocardiograms , 1987, IEEE Transactions on Biomedical Engineering.

[10]  Edward A. Geiser,et al.  An Effective Algorithm for Extracting Serial Endocardial Borders from 2-Dimensional Echocardiograms , 1984, IEEE Transactions on Biomedical Engineering.

[11]  Shinichi Tamura,et al.  Plan-based boundary extraction and 3-D reconstruction for orthogonal 2-D echocardiography , 1987, Pattern Recognit..

[12]  Robert J. Schalkoff,et al.  Image labelling: a neural network approach , 1988, Image Vis. Comput..

[13]  Samuel Sideman,et al.  Semiautomated Border Tracking of Cine Echocardiographic Ventnrcular Images , 1987, IEEE Transactions on Medical Imaging.

[14]  Ryoichi Mori,et al.  A Left Ventricular Function Analyzer and Its Application , 1987, IEEE Transactions on Biomedical Engineering.

[15]  E J Delp,et al.  Detecting left ventricular endocardial and epicardial boundaries by digital two-dimensional echocardiography. , 1988, IEEE transactions on medical imaging.

[16]  Keith E. Price,et al.  Relaxation Matching Techniques-A Comparison , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[17]  R. Sai Prasad,et al.  An Image Processing Method for Cardiac Motion Analysis , 1987, IEEE Transactions on Biomedical Engineering.

[18]  Steven W. Zucker,et al.  On the Foundations of Relaxation Labeling Processes , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[19]  Azriel Rosenfeld,et al.  Real-Time Medical Image Processing , 1980, Springer US.

[20]  Jake K. Aggarwal,et al.  Determining object motion in a sequence of stereo images , 1987, IEEE Journal on Robotics and Automation.

[21]  T. Pavlidis.  Algorithms for Graphics and Image Processing , 1981, Springer Berlin Heidelberg.

[22]  Fernando A. Mota,et al.  A Method for the Analysis of Ambiguous Segmentations of Images , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[23]  Azriel Rosenfeld,et al.  Scene Labeling by Relaxation Operations , 1976, IEEE Transactions on Systems, Man, and Cybernetics.

[24]  L. T. Andrews,et al.  Segmentation of echocardiographic images using mathematical morphology , 1988, IEEE Transactions on Biomedical Engineering.

[25]  Keith E. Price.  Hierarchical matching using relaxation , 1986, Comput. Vis. Graph. Image Process..

[26]  Xinhua Zhuang,et al.  Image Analysis Using Mathematical Morphology , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.