Comparative Evaluation of Mitral Valve Strain by Deformation Tracking in 3D-Echocardiography

Cardiovascular Engineering and Technology

Volumn 3, Issue 4, 2012, Pages 402-412

  Ben Zekry, S ^a   Lawrie, G ^a   Little, S ^a   Zoghbi, W ^a   Freeman, J ^b   Jajoo, A ^b   Jain, S ^b   He, J ^b   Martynenko, A ^b   Azencott, R ^b,c  

^a HOUSTON METHODIST RESEARCH INSTITUTE   (United States)

^b University of Houston   (United States)

^c Paris Descartes University   (France)

Author keywords

3D echocardiography; Deformable shapes; Diffeomorphic tracking; Human mitral valve; Leaflet tissue strain

Indexed keywords

3D ECHOCARDIOGRAPHY; COMPARATIVE EVALUATIONS; DEFORMABLE SHAPES; MITRAL VALVES; PATIENT SPECIFIC; STRAIN MAPS; STRAIN REDUCTION;

DEFORMATION; ECHOCARDIOGRAPHY; SURGERY; THREE DIMENSIONAL; TISSUE;

THREE DIMENSIONAL COMPUTER GRAPHICS;

ALGORITHM; ARTICLE; CARDIOVASCULAR PARAMETERS; CLINICAL ARTICLE; COMPARATIVE STUDY; COMPUTER ANALYSIS; COMPUTER MODEL; CONTROLLED STUDY; DIFFEOMORPHIC SURFACE TRACKING; DIGITAL IMAGING AND COMMUNICATIONS IN MEDICINE; DISEASE SEVERITY; ELASTICITY; HUMAN; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; IMAGING AND DISPLAY; MATHEMATICAL ANALYSIS; MITRAL VALVE PROLAPSE; MITRAL VALVE REGURGITATION; MITRAL VALVE REPAIR; MITRAL VALVE STRAIN; POSTOPERATIVE PERIOD; PREOPERATIVE PERIOD; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; THREE DIMENSIONAL ECHOCARDIOGRAPHY;

EID: 84870411880     PISSN: 1869408X     EISSN: 18694098     Source Type: Journal    
DOI: 10.1007/s13239-012-0111-9     Document Type: Article

References (36)

1. Altiok, E., S. Hamada, S. van Hall, M. Hanenberg, G. Dohmen, M. Almalla, E. Grabskaya, M. Becker, N. Marx, and R. Hoffmann. Comparison of direct planimetry of mitral valve regurgitation orifice area by 3D transesophageal echocardiography to effective regurgitant orifice area obtained by proximal flow convergence method. Am. J. Cardiol. 107(3): 452-458, 2011.
2. Azencott, R. Elastic Deformations of Soft 3D-shapes, IBIS Colloquium on Medical Image Analysis. Kiawah Island: The Methodist Hospital, 2006.
3. Azencott, R., R. Glowinski, and A. Ramos. A controllability approach to shape identification. Appl. Math. Lett. 21: 861-865, 2008.
4. Azencott R., R. Glowinski, J. He, R. Hoppe, A. Jajoo, Y. Li, A. Martynenko, R. Hoppe, S. Ben Zekry, S. Little, and W. Zoghbi. Diffeomorphic matching and dynamic deformable surfaces in 3D medical imaging. Comput. Methods Appl. Math. 10: 235-274, 2010.
5. Baraldi, P., A. Sarti, C. Lamberti, A. Prandini, and F. Sgallari. Evaluation of differential optical flow techniques on synthesized echo images. IEEE Trans. Biomed. Eng. 43: 259-272, 1996.
6. Barron, J., D. Fleet, and S. Beauchemin. Performance of optical flow techniques. Int. J. Comput. Vis. 12: 43-47, 1994.
7. Beg, M. F., M. I. Miller, A. Trouvé, and L. Younes. Computing large deformations metric mappings via geodesic flows of diffeomorphisms. Int. J. Comput. Vis. 61: 139-157, 2005.
8. Beg, M. F., M. I. Miller, A. Trouv, and L. Younes. Computing large deformations metric mappings via geodesic flows of diffeomorphisms. Int. J. Comput. Vis. 61: 139-157, 2005.
9. Behar, V., D. Adam, P. Lysyansky, and Z. Friedman. The combined effect of non-linear filtration and window size on the accuracy of tissue displacement estimation using detected echo signals. Ultrasonics 41: 743-753, 2004.
10. Boukerroui, D., A. Noble, and M. Brady. Velocity estimation in ultrasound images: a block matching approach. Proc. 18th ICIPMI., Ambleside, UK, 2003, pp. 586-598.
11. Chandra, S., I. S. Salgo, L. Sugeng, L. Weinert, S. H. Settlemier, V. Mor-Avi, and R. M. Lang. A three-dimensional insight into the complexity of flow convergence in mitral regurgitation: adjunctive benefit of anatomic regurgitant orifice area. Am. J. Physiol. Heart Circ. Physiol. 301(3): H1015-H1024, 2011.
12. Cohen, B., and I. Dinstein. New maximum likelihood motion estimation schemes for noisy ultrasound images. Pattern Recogn. 35: 455-463, 2002.
13. Elen, A., H. F. Choi, D. Loeckx, H. Gao, P. Claus, P. Suetens, F. Maes, and J. D'hooge. Three-dimensional cardiac strain estimation using spatio-temporal elastic Registration of Ultrasound Images. IEEE Trans. Med. Imaging 27(11): 1580-1591, 2008.
14. Enriquez-Sarano, M., L. J. Sinak, A. J. Tajik, K. R. Bailey, and J. B. Seward. Changes in effective regurgitant orifice throughout systole in patients with mitral valve prolapse. Circulation 92: 2951-2958, 1995.
15. Glaunès, J., A. Qiu, M. I. Miller, and L. Younes. Large deformation diffeomorphic metric curve mapping. Int. J. Comput. Vis. 80: 317-336, 2008.
16. Guo, H., A. Rangarajan, S. Joshi, and L. Younes. Non-rigid registration of shapes via diffeomorphic point matching. Proc. Int. Symp. on Biomed. Imaging: From Nano to Macro, Washington, D. C., 2004, pp. 924-927.
17. Guo, H., A. Rangarajan, and S. Joshi: Diffeomorphic point matching. In: Handbook of Mathematical Models in Computer Vision. Springer, Berlin, 2006, pp. 205-219.
18. Heyde, B., S. Cygan, H. F. Choi, B. Lesniak-Plewinska, D. Barbosa, A. Elen, P. Claus, D. Loeckx, K. Kaluzynski, and J. D'hooge. Three-dimensional cardiac motion and strain estimation. IEEE International Ultrasonics Symposium Proceedings, 2010, pp. 1534-1537.
19. Jimenez, J., D. Soerensen, Z. He, S. He, and A. Yoganathan. Effects of a saddle shaped annulus on mitral valve function and chordal force distribution: an in vitro study. Ann. Biomed. Eng. 31: 1171-1181, 2003.
20. Joshi, S., and M. Miller. Landmark matching via large deformation diffeomorphisms. IEEE Trans. Image Process. 9: 1357-1370, 2000.
21. Krishnamurthy, G., D. B. Ennis, A. Itoh, W. Bothe, J. C. Swanson, M. Karlsson, E. Kuhl, D. C. Miller, Jr., and N. B. Ingels. Material properties of the ovine mitral valve anterior leaflet in vivo from inverse finite element analysis. Am. J. Physiol. Heart Circ. Physiol. 295: 1141-1149, 2008.
22. Kunzelman, K. S., and R. P. Cochran. Stress/strain characteristic of porcine mitral valve tissue: parallel versus perpendicular collagen orientation. J. Card. Surg. 7(1): 71-78, 1992.
23. Kunzelman, K. S., M. S. Reimink, E. D. Verrier, and R. P. Cochran. Replacement of mitral valve posterior chordae tendineae with expanded polytetrafluoroethylene suture: a finite element study. J. Card. Surg. 11(2): 136-145, 1996.
24. Kunzelman, K. S., M. S. Reimink, and R. P. Cochran. Annular dilatation increases stress in the mitral valve and delays coaptation: a finite element computer model. Cardiovasc. Surg. 5: 427-434, 1997.
25. Kybic, J., and M. Unser Fast parametric elastic image registration. IEEE Trans. Imag. Proc. 12: 1427-1442, 2003.
26. Lawrie, G. Mitral valve repair vs replacement. Cardiol. Clin. 16(3): 437-448, 1998.
27. Lawrie, G. Mitral valve: toward complete repairability. Surg. Technol. Int. 15: 189-197, 2006.
28. Ledesma-Carbayo, M., J. Kybic, M. Desco, A. Santos, M. Sühling, P. Hunziker, and M. Unser. Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation. IEEE Trans. Med. Imag. 24: 1113-1126, 2005.
29. Miller, I., A. Trouvé, and L. Younes. On the metrics and Euler-Lagrange equations of computational anatomy. Ann. Rev. Biomed. Eng. 4: 375-405, 2002.
30. Piegl, L., and W. Tiller. The NURBS Book. Berlin: Springer-Verlag, 1997.
31. Prot, V., R. Haaverstad, and B. Skallerud. Finite element analysis of the mitral apparatus: annulus shape effect and chordal force distribution. Biomech. Model. Mechanobiol. 8: 43-55, 2009.
32. Revell, J., M. Mirmehdi, and D. McNally. Computer vision elastography: speckle adaptive motion estimation for elastography using ultrasound sequences. IEEE Trans. Med. Imag. 24: 755-760, 2005.
33. Strintzis, M. G., and I. Kokkinidis. Likelihood motion estimation in ultrasound image sequences. IEEE Sig. Proc. Lett. 4: 156-157, 1997.
34. Suhling, M., M. Arigovindan, C. Jansen, P. Hunziker, and M. Unser. Myocardial motion analysis from B-mode echocardiograms. IEEE Trans. Imag. Proc. 14: 525-536, 2005.
35. Yong, Y., J. Clark, and D. Khoury. Speckle tracking in intracardiac echocardiography for the assessment of myocardial deformation. IEEE Trans. Biomed. Eng. 56: 416-425.
36. Zienkiewicz, O. C., and R. L. Taylor. Finite element method for solid and structural mechanics. (6th edition). Elsevier (2005), 631 pp.