Active ellipse model and automatic chamber detection in apical views of echocardiography images

Ultrasound in Medicine and Biology

Volumn 37, Issue 12, 2011, Pages 2055-2065

  Marsousi, Mahdi ^a,c   Ahmadian, Alireza ^b,c   Kocharian, Armen ^b   Alirezaie, Javad ^a,c,d  

^a RYERSON UNIVERSITY   (Canada)

^b TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^c TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^d UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Active ellipse model; Centre point detection; Chamber detection; Echocardiography image processing; Heart

Indexed keywords

ACTIVE CONTOUR MODEL; AUTOMATIC METHOD; CENTRE POINT DETECTION; DICE COEFFICIENT; ELLIPSE MODEL; FASTER CONVERGENCE; INITIAL CONTOUR; MORPHOLOGIC OPERATORS; SEGMENTATION PROCESS; SEGMENTATION TECHNIQUES;

ECHOCARDIOGRAPHY; GEOMETRY; HEART;

IMAGE SEGMENTATION;

ACTIVE ELLIPSE MODEL; ALGORITHM; ARTICLE; AUTOANALYSIS; CARDIAC IMAGING; COMPUTER INTERFACE; CONTROLLED STUDY; ECHOCARDIOGRAPHY; HEART LEFT ATRIUM; HEART LEFT VENTRICLE; HEART MUSCLE; HEART RIGHT ATRIUM; HEART RIGHT VENTRICLE; IMAGE ANALYSIS; IMAGE PROCESSING; MATHEMATICAL MODEL; MORPHOLOGY; NORMAL DISTRIBUTION; PRIORITY JOURNAL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ECHOCARDIOGRAPHY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 82955187788     PISSN: 03015629     EISSN: 1879291X     Source Type: Journal    
DOI: 10.1016/j.ultrasmedbio.2011.09.001     Document Type: Article

References (24)

1. Angelini E.D., Laine A.F., Takuma S., Holmes J.W., Homma S. LV volume quantification via patiotemporal analysis of real-time 3-D echocardiography. IEEE Trans Med Imaging 2001 Jun, 20(6):457-469.
2. Carson C., Belongie S., Greenspan H., Malik J. Image segmentation using expectation-maximization and its application to image querying. IEEE Trans Pattern Anal Mach Intell 2002, 24:1026-1038.
3. Chalana V., Linker D.T., Haynor D.R., Kim Y. A multiple active contour model for cardiac boundary detection on echocardiographic sequences. IEEE Trans Med Imaging 1996, 15:290-298.
4. Chalana V., Kim Y. A methodology for evaluation of boundary detection algorithms on medical images. IEEE Trans Med Imaging 1997, 16:642-652.
5. Chen C., Lu H., Huang Y. Cell-based dual snake model: A new approach to extracting highly winding boundaries in the ultrasound images. Ultrasound Med Biol 2002, 28:1061-1073.
6. Cheng J., Foo S.W. Automatic detection of region of interest and centre point of left ventricle using watershed segmentation. IEEE Int Symp Circuits Syst 2005, 1:149-151.
7. Cheng J., Foo S.W., Krishnan S.M. Watershed-presegmented snake for boundary detection and tracking of left ventricle in echocardiographic images. IEEE Trans Inf Technol Biomed 2006, 10:414-416.
8. Chuang G., Kuo C. Wavelet descriptor of planar curves: Theory and applications. IEEE Trans Image Process 1996, 5:56-70.
9. Cohen L.D. On active contour models and balloons. Comp Vis Graph Image Proc Image Underst 1991, 53:211-218.
10. Edwards GJ, Taylor CJ, Cootes TF. Interpreting face images using active appearance models. In: Proceedings of the Third IEEE International Conference on Automatic Face and Gesture Recognition, 14-16 Apr 1998, Nara, Japan. pp. 300-305.
11. Jean-Baptiste F., Vincent A., Johan M. An interactive medical image segmentation system based on the optimal management of regions of interest using topological medical knowledge. Comput Methods Programs Biomed 2006, 82:216-230.
12. Fitzgibbon A., Pilu M., Fisher R.B. Direct least square fitting of ellipses. IEEE Trans Pattern Anal Mach Intell 1999, 21:476-480.
13. Gander W., Golub G.H., Strebel R. Least-square fitting of circles and ellipses. BIT Numerical Mathematics 1994, 43:558-578.
14. Huttenlocher D.P., Klanderman G.A., Rucklidge W.J. Comparing images using the Hausdorff distance. IEEE Trans Pattern Anal Mach Intell 1993, 15:850-863.
15. Jacob G., Noble J.A., Mulet-Parada M., Blake A. Evaluating a robust contour tracker on echocardiographic sequences. Med Image Anal 1999, 3:63-75.
16. Jacob M., Blu T., Unser M. Efficient energies and algorithms for parametric snakes. IEEE Trans Image Process 2004, 13:1231-1244.
17. Malassiotis S., Strintzis M.G. Tracking the left ventricle in echocardiographic images by learning heart dynamics. IEEE Trans Med Imaging 1999, 18:282-290.
18. Marsousi M, Eftekhari A, Alirezaie J, Kocharian A, Sharifahmadian E. Fast and automatic LV mass calculation from echocardiographic images via B-spline snake model and Markov random fields. 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'09). Sept 3-6, 2009. Proceedings of the IEEE (EMBC), Minneapolis, MN, 2009;3633-3636.
19. Marsousi M., Eftekhari A., Kocharian A., Alirezaie J. Endocardial boundary extraction in left ventricular echocardiographic images using fast and adaptive B-spline snake algorithm. Int J Comput Assisted Radiol Surg 2010, 5:501-513.
20. Mignotte M., Meunier J., Tardif J.C. Endocardial boundary estimation and tracking in echocardiographic images using deformable templates and Markov random fields. Pattern Anal Appl 2001, 4:256-271.
21. Mikic I., Krucinski S., Thomas J.D. Segmentation and tracking in echocardiographic sequences: Active contours guided by optical flow estimates. IEEE Trans Med Imaging 1998, 17:274-284.
22. Noble J.A., Boukerroui D. Ultrasound image segmentation: A survey. IEEE Trans Med Imaging 2006, 25:987-1010.
23. Park H., Schoepflin T., Kim Y. Active contour model with gradient directional information: Directional snake. IEEE Trans Circuits Syst Video Technol 2001, 1:252-256.
24. Setarehdan S.K., Soraghan J.J. Automatic left ventricular centre point extraction in echocardiographic images. Signal Process J EURASIP 1997, 61:275-288.