Skip to main content

Three Dimensional Reconstruction and Dynamic Analysis of Mitral Annular Based on Connected Equi-length Curve Angle Chain

  • Conference paper
Medical Biometrics (ICMB 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4901))

Included in the following conference series:

Abstract

Based on three dimensional echocardiography sequences, a new technique using connected equi-length curve angle chain (CELCAC) model for reconstruction and dynamic analysis of mitral annulus is proposed in this paper. Firstly, the boundary points of mitral annulus of the mitral annulus is extracted by interactive method and ordered according to their positions. Then, the three dimensional mitral annulus visualization model is established based on non-uniform rational B – spline algorithm. Finally, dynamic analysis of mitral annulus presented by the CELCAC model is suggested. The presentation is invariant to rotation, scaling, and translation. Results show that the reconstruction and analysis method proposed in this paper is feasible to assess the geometry and analyze the motion of mitral annulus.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Powel, K., Rodrigruez, L., Patwari, P., et al.: 3-D Reconstruction of Mitral Annulus from 2-D Transesophageal Echocardiographic Images. Comput. in Cardiol., 25–28 (1994)

    Google Scholar 

  2. Dias, J., Leitao, J.: Wall position and thickness estimation from sequence of echocardiographic images. IEEE Trans. Med Imaging 15, 25–38 (1996)

    Article  Google Scholar 

  3. Kotropolulos, C.: Nonlinear ultrasonic image processing based on signal-adaptive filters and self-organizing neural networks. IEEE Trans. Image Processing 3, 65–77 (1994)

    Article  Google Scholar 

  4. Thomas, J., Peters, R., Jeanty, P.: Automatic segmentation of ultrasound images using morphological operators. IEEE Trans. Med. Imaging 10, 180–186 (1991)

    Article  Google Scholar 

  5. Hass, C., Ermert, H., Holt, S., et al.: Segmentation of 3-D intravascular ultrasonic images based on a random field model. Ultrasound Med Biol 26, 297–306 (2000)

    Article  Google Scholar 

  6. Johan, G., Steven, C., Boudewijn, P.: Automatic segmentation of echocardiographic sequences by active appearance motion models. IEEE Trans. Med. Imaging 21, 1374–1383 (2002)

    Article  Google Scholar 

  7. Chen, S., Yang, X., Yao, L., et al.: Segmentation in Echocardiographic Sequences using Shape-based Snake Model Combined with Generalized Hough Transformation. Int. J. Cardiovasc Imaging 22, 33–45 (2006)

    Article  Google Scholar 

  8. Saracino, G., Dainion, M., Greenberg, N., et al.: A novel system for the assessment of mitral annular geometry and analysis of 3D motion of the mitral annulus from 3D echocardiography. Comput. in Cardiol. 31, 69–72 (2004)

    Google Scholar 

  9. Yamaura, Y., Yoshida, K., Hozumi, T., et al.: Evaluation of the mitral annulus by extracted three-dimensional images in patients with an annuloplasty annulus. Am. J. Cardiol 82, 534–536 (1998)

    Article  Google Scholar 

  10. Ormiston, J., Shah, P., Tei, C., et al.: Size and motion of the mitral annulus in man. I. A two-dimensional echocardiographic method and findings in normal subjects. Circulation 64, 113–120 (1981)

    Google Scholar 

  11. Ching, Y., Chen, S., Chang, C., et al.: Finding the mitral annular lines from 2-D + 1-D precordial echocardiogram using graph-search technique. IEEE trans. Inf. Technol. Biomed. 8, 1–4 (2004)

    Article  Google Scholar 

  12. Wolf, I., Hastenteufel, M., Simone, D., et al.: Three-dimensional annulus segmentation and hybrid visualisation in echocardiography. Comput. in Cardiol., 23–26 (2001)

    Google Scholar 

  13. Chandra, S., Powell, K., Breburda, C.: Three dimensional reconstruction (shape and motion) of tricuspid annulus in normals and in patients after tricuspid annuloplasty with a flexible ring. Comput. in Cardiol. 8-11, 693–696 (1996)

    Google Scholar 

  14. Tei, C., Pilgrim, J., Shah, P., et al.: The tricuspid valve annulus: study of size and motion in normal subjects and in patients with tricuspid regurgitation. Circulation 66, 665–671 (1982)

    Article  Google Scholar 

  15. Tuladhar, S., Punjabi, P.: Surgical reconstruction of the mitral valve. Heart 92, 1373–1377 (2006)

    Article  Google Scholar 

  16. Watanabe, N., Ogasawara, Y., Yamaura, Y.: Mitral annulus flattens in ischemic mitral regurgitation: Geometric differences between inferior and anterior myocardial infarction: A real-time 3-dimensional echocardiographic study. Circulation 112, 458–462 (2005)

    Article  Google Scholar 

  17. Valocik, G., Kamp, O., Visser, C.: Three-dimensional echocardiography in mitral valve disease. Eur. J. Echocardio. 6, 443–454 (2005)

    Article  Google Scholar 

  18. Takemoto, Y., Hozumi, T., Sugioka, K., et al.: Automated Three-Dimensional Analysis of Mitral Annular Dynamics in Patients with Myocardial Infarction Using Automated Mitral Annular Tracking Method. Echocardiography. Journal of Cardiovascular Ultrasound & Allied Techniques 23, 658–665 (2006)

    Google Scholar 

  19. Donald, H., Pauline, M.: Computer Graphics with OpenGL, 3rd edn., Beijing, pp. 451–452. Publishing house of electronics industry (2004)

    Google Scholar 

  20. Burger, P., Gillies, D.: Interactive computer graphics, Functional, Procedural and Device-level Methods. Addison-Wesley Publishing Co, Reading (1989)

    MATH  Google Scholar 

  21. Riesenfeld, R.: Berstein-Bezier Methods for the Computer Aided Design of Free-Form Curves and Surfaces. Ph.D. Thesis, Syracuse University (1973)

    Google Scholar 

  22. Zhao, Y., Chen, Y.Q.: Connected Equi-Length Line Segments for Curve and Structure. International Journal of Pattern Recognition and Artificial Intelligence 18, 1019–1022 (2004)

    Article  Google Scholar 

  23. Levine, R., Robert, A., Marco, O., et al.: The relationship of mitral annular shape to the diagnosis of the mitral valve prolapse. Circulation 75, 751–756 (1987)

    Article  Google Scholar 

  24. Tsakiris, A., Bernuth, G., Rastelli, G., et al.: Size and motion of the mitral annulus in anesthetized intact dogs. J. Appl. Physiol. 30, 611–618 (1971)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lei, Z., Xin, Y., Liping, Y., Kun, S. (2007). Three Dimensional Reconstruction and Dynamic Analysis of Mitral Annular Based on Connected Equi-length Curve Angle Chain. In: Zhang, D. (eds) Medical Biometrics. ICMB 2008. Lecture Notes in Computer Science, vol 4901. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77413-6_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-77413-6_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77410-5

  • Online ISBN: 978-3-540-77413-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics