Skip to main content

Endocardial Tracking in Contrast Echocardiography Using Optical Flow

  • Conference paper
Book cover Biological and Medical Data Analysis (ISBMDA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 3745))

Included in the following conference series:

  • 1199 Accesses

Abstract

Myocardial Contrast Echocardiography (MCE) is a recent technique that allows to measure regional perfusion in the cardiac wall. Segmentation of MCE sequences would allow simultaneous evaluation of perfusion and wall motion. This paper deals with the application of partial differential equations (PDE) for tracking the endocardial wall. We use a variational optical flow method which we solve numerically with a multigrid approach adapted to the MCE modality. The data sequence are first smoothed and a hierarchical-iterative procedure is implemented to correctly estimate the flow field magnitude. The method is tested on several sequences showing promising results for automatic wall tracking.

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. García-Fernández, M.A., Bermejo, J., Pérez-David, E., López-Fernández, T., Ledesma, M.J., Caso, P., Malpica, N., Santos, A., Moreno, M., Desco, M.: New techniques for the assessment of left ventricular wall motion Echocardiography 20, 659–672 (2003)

    Google Scholar 

  2. Barron, J., Fleet, D., Beauchemin, S.: Performance of optical flow techniques. Int. J. Comput. Vision 12, 43–77 (1994)

    Article  Google Scholar 

  3. Caiani, E.G., Lang, R.M., Caslini, S., et al.: Quantification of regional myocardial perfusion using semiautomated translation-free analysis of contrast-enhanced power modulation images. J. Am. Soc. of Echocardiog. 16, 116–123 (2003)

    Article  Google Scholar 

  4. Bruhn, A., Weickert, J., Feddern, C., Kohlberger, T., Schnörr, C.: Variational optical flow computation in real time. IEEE T. Image Process 14, 608–615 (2005)

    Article  Google Scholar 

  5. Bruhn, A., Weickert, J., Feddern, C., Kohlberger, T., Schnörr, C.: Real-Time Optic Flow Computation with Variational Methods. In: Petkov, N., Westenberg, M.A. (eds.) CAIP 2003. LNCS, vol. 2756, pp. 222–229. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  6. Golub, G., Ortega, J.M.: Scientific Computing an Introduction with Parallel Computing. Academic Press Inc., London (1993)

    MATH  Google Scholar 

  7. Bruhn, A., Weickert, J., Schnörr, C.: Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods. Int. J. Comput. Vision 61, 211–231 (2005)

    Article  Google Scholar 

  8. Chan, T., Shen, J.: Variational restoration of nonflat image features: Models and algorithms. SIAM J. Appl. Math. 61, 1338–1361 (2000)

    MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Malpica, N., Garamendi, J.F., Desco, M., Schiavi, E. (2005). Endocardial Tracking in Contrast Echocardiography Using Optical Flow. In: Oliveira, J.L., Maojo, V., Martín-Sánchez, F., Pereira, A.S. (eds) Biological and Medical Data Analysis. ISBMDA 2005. Lecture Notes in Computer Science(), vol 3745. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573067_7

Download citation

  • DOI: https://doi.org/10.1007/11573067_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29674-4

  • Online ISBN: 978-3-540-31658-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics