Probabilistic framework for tracking in artifact-prone 3D echocardiograms

Medical Image Analysis

Volumn 14, Issue 6, 2010, Pages 750-758

  Leung, K Y Esther ^a   Danilouchkine, Mikhail G ^a   van Stralen, Marijn ^a   de Jong, Nico ^a   van der Steen, Antonius F W ^a   Bosch, Johan G ^a  

^a ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

Artifact detection; Echocardiography; Expectation maximization; Segmentation

Indexed keywords

3-D ULTRASOUND; ARTIFACT DETECTION; CARDIAC MOTION; DATA-DRIVEN; DYNAMIC FRAME; ECHOCARDIOGRAPHIC SEQUENCES; ENDOCARDIAL SURFACES; EXPECTATION MAXIMIZATION; EXPECTATION-MAXIMIZATION ALGORITHMS; PROBABILISTIC FRAMEWORK; QUANTITATIVE ANALYSIS; STATISTICAL MODELS;

ALGORITHMS; ECHOCARDIOGRAPHY; IMAGE SEGMENTATION; MAXIMUM PRINCIPLE; MOTION ESTIMATION; OPTIMIZATION; QUALITY CONTROL; TRACKING (POSITION); ULTRASONIC APPLICATIONS; ULTRASONICS;

THREE DIMENSIONAL;

ARTICLE; ARTIFACT; ECHOCARDIOGRAPHY; ENDOCARDIUM; HEART MUSCLE; PRIORITY JOURNAL;

ALGORITHMS; ARTIFACTS; CORONARY ARTERY DISEASE; DATA INTERPRETATION, STATISTICAL; ECHOCARDIOGRAPHY, THREE-DIMENSIONAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 77954658595     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2010.06.003     Document Type: Article

References (41)

1. Baraldi P., Sarti A., Lamberti C., Prandini A., Sgallari F. Evaluation of differential optical flow techniques on synthesized echo images. IEEE Trans. Biomed. Eng. 1996, 43(3):259-272.
2. Beichel R., Bischof H., Leberl F., Sonka M. Robust active appearance models and their application to medical image analysis. IEEE Trans. Med. Imag. 2005, 24(9):1151-1169.
3. Bjaerum S., Torp H., Kristoffersen K. Clutter filters adapted to tissue motion in ultrasound color flow imaging. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 2002, 49(6):693-704.
4. Bosch J.G., Mitchell S.C., Lelieveldt B.P.F., Nijland F., Kamp O., Sonka M., Reiber J.H.C. Automatic segmentation of echocardiographic sequences by active appearance motion models. IEEE Trans. Med. Imag. 2002, 21(11):1374-1383.
5. Bylund, N.E., Andersson, M., Knutsson, H., 2005. Interactive 3D filter design for ultrasound artifact reduction. Proc IEEE Int. Conf. Image Process. 3, 728-731.
6. Carneiro G., Georgescu B., Good S., Comaniciu D. Detection and measurement of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree. IEEE Trans. Med. Imag. 2008, 27(9):1342-1355.
7. Chunke, Y., Terada, K., Oe, S., 1996. Motion analysis of echocardiograph using optical flow method. Proc. IEEE Int. Conf. Syst., Man Cybern. 1, 672-677.
8. Cloutier G., Chen D., Durand L.G. A new clutter rejection algorithm for doppler ultrasound. IEEE Trans. Med. Imag. 2003, 22(4):530-538.
9. Comaniciu D., Zhou X.S., Krishnan S. Robust real-time myocardial border tracking for echocardiography: an information fusion approach. IEEE Trans. Med. Imag. 2004, 23(7):849-860.
10. Cootes T.F., Edwards G.J., Taylor C.J. Active appearance models. IEEE Trans. Pattern Anal. Mach. Intell. 2001, 23(6):681-685.
11. Duarte M.A., Machado J.C., Pereira W.C.A. A method to identify acoustic reverberation in multilayered homogeneous media. Ultrasonics 2003, 41:683-698.
12. Duck F.A. Nonlinear acoustics in diagnostic ultrasound. Ultrasound Med. Biol. 2002, 28(1):1-18.
13. Feigenbaum H., Armstrong W.F., Ryan T. Feigenbaums Echocardiography 2005, Lippincott Williams & Wilkins, Philadelphia. sixth ed.
14. Georgescu, B., Zhou, X.S., Comaniciu, D., Gupta, A., 2005. Database-guided segmentation of anatomical structures with complex appearance. Proc. IEEE Conf. Comput. Vis. Patt. Recognit. 2, 429-436.
15. Gross, R., Matthews, I., Baker, S., 2004. Constructing and fitting active appearance models with occlusion. Proc. IEEE Conf. Comput. Vis. Patt. Recognit. 5, 72-80.
16. Hansegrd, J., Orderud, F., Rabben, S.I., 2007a. Real-time active shape models for segmentation of 3D cardiac ultrasound. Proc. CAIP LNCS 4673, 157-164.
17. Hansegrd J., Urheim S., Lunde K., Rabben S.I. Constrained active appearance models for segmentation of triplane echocardiograms. IEEE Trans. Med. Imag. 2007, 26(10):1391-1400.
18. Hozumi T., Yoshida K., Abe Y., Kanda R., Akasaka T., Takagi T., Yagi T., Ogata Y., Yoshikawa J. Visualization of clear echocardiographic images with near field noise reduction technique: experimental study and clinical experience. J. Am. Soc. Echocardiogr. 1998, 11:660-667.
19. Jepson A.D., Fleet D.J., El-Maraghi T.F. Robust online appearance models for visual tracking. IEEE Trans. Patt. Anal. Mach. Intell. 2003, 25(10):1296-1311.
20. Kokaram A.C. On missing data treatment for degraded video and film archives: a survey and a new bayesian approach. IEEE Trans. Image Process. 2004, 13(3):397-415.
21. Leung, K.Y.E., Danilouchkine, M.G., Van Stralen, M., De Jong, N., Van der Steen, A.F.W., Bosch, J.G., 2009. Tracking left ventricular borders in 3D echocardiographic sequences using motion-guided optical flow. SPIE Med. Imag. 7259, 72590W.
22. Leung K.Y.E., Van Stralen M., Nemes A., Voormolen M.M., Van Burken G., Geleijnse M.L., Ten Cate F.J., Reiber J.H.C., Van der Steen A.F.W., De Jong N., Bosch J.G. Sparse registration for three-dimensional stress echocardiography. IEEE Trans. Med. Imag. 2008, 27(11):1568-1579.
23. Lin N., Yu W., Duncan J.S. Combinative multi-scale level set framework for echocardiographic image segmentation. Med. Image Anal. 2003, 7(4):529-537.
24. Lucas, B.D., Kanade, T., 1981. An iterative image registration technique with an application to stereo vision. Proc. DARPA Image Understand. Workshop, 121-130.
25. Mailloux G.E., Bleau A., Bertrand M., Petitclerc R. Computer analysis of heart motion from two-dimensional echocardiograms. IEEE Trans. Bio-Med. Eng. 1987, 34(5):356-364.
26. Malassiotis S., Strintzis M.G. Tracking the left ventricle in echocardiographic images by learning heart dynamics. IEEE Trans. Med. Imag. 1999, 18(3):282-290.
27. Miki I., Krucinski S., Thomas J.D. Segmentation and tracking in echocardiographic sequences: active contours guided by optical flow estimates. IEEE Trans. Med. Imag. 1998, 17(2):274-284.
28. Nemes A., Geleijnse M.L., Krenning B.J., Soliman O.I.I., Anwar A.M., Vletter W.B., ten Cate F.J. Usefulness of ultrasound contrast agent to improve image quality during real-time three-dimensional stress echocardiography. Am. J. Cardiol. 2007, 99(2):275-278.
29. Orderud F., Hansegrd J., Rabben S.I. Real-time tracking of the left ventricle in 3D echocardiography using a state estimation approach. Proc. MICCAI LNCS 2007, 4791:858-865.
30. Perperidis D., Mohiaddin R., Edwards P., Rueckert D. Segmentation of cardiac MR and CT image sequences using model based registration of a 4D statistical model. Proc. SPIE Med. Imag. 2007, 6512:65121D.
31. Sanchez-Ortiz G.I., Wright G.J.T., Clarke N., Declerck J., Banning A.P., Noble J.A. Automated 3-D echocardiography analysis compared with manual delineations and SPECT MUGA. IEEE Trans. Med. Imag. 2002, 21(9):1069-1076.
32. Stauffer C., Grimson W.E.L. Learning patterns of activity using real-time tracking. IEEE Trans. Pattern Anal. Mach. Intell. 2000, 22(8):747-757.
33. Shling M., Arigovindan M., Jansen C., Hunziker P., Unser M. Myocardial motion analysis from B-mode echocardiograms. IEEE Trans. Image Process. 2005, 14(4):525-536.
34. Takeuchi Y. An investigation of a spread energy method for medical ultrasound systems. Part 1: theory and investigation. Ultrasonics 1979, 17:175-182.
35. Treece G.M., Prager R.W., Gee A.H., Berman L. Correction of probe pressure artifacts in freehand 3D ultrasound. Med. Image Anal. 2002, 6(3):199-214.
36. van Stralen M., Bosch J.G., Voormolen M.M., van Burken G., Krenning B.J., van Geuns R.M., Lance C.T., de Jong N., Reiber J.H. Left ventricular volume estimation in cardiac three-dimensional ultrasound: a semiautomatic border detection approach. Acad. Radiol. 2005, 12(10):1241-1249.
37. Veronesi F., Corsi C., Caiani E.G., Sarti A., Lamberti C. Tracking of left ventricular long axis from real-time three-dimensional echocardiography using optical flow techniques. IEEE Trans. Inf. Technol. Biomed. 2006, 10(1):174-181.
38. Wolf I., Hastenteufel M., De Simone R., Vetter M., Glombitza G., Mottl-Link S., Vahl C.F., Meinzer H.P. ROPES: a semiautomated segmentation method for accelerated analysis of three-dimensional echocardiographic data. IEEE Trans. Med. Imag. 2002, 21(9):1091-1104.
39. Yang L., Georgescu B., Zheng Y., Foran D.J., Comaniciu D. A fast and accurate tracking algorithm of left ventricles in 3D echocardiography. Proc. ISBI 2008, 221-224.
40. Yoo Y.M., Managuli R., Kim Y. Adaptive clutter filtering for ultrasound color flow imaging. Ultrasound Med. Biol. 2003, 29(9):1311-1320.
41. Zwirn G., Akselrod S. Stationary clutter rejection in echocardiography. Ultrasound Med. Biol. 2006, 32(1):43-52.