Skip to main content

Identification of Leaflet Using Pixel Tracker Technique in Echocardiogram

  • Conference paper
  • First Online:
Proceedings of the 3rd International Symposium of Information and Internet Technology (SYMINTECH 2018) (SYMINTECH 2018)

Abstract

In the past decades, echocardiography has appeared as an important modality in medical field to assess heart’s function and structures as well as for diagnosis and evaluation. Many image processing researches are done to enhance the imaging aspect and produce better quality of image. Accurateness in measuring tricuspid valve is an important issue, not only for surgical decision-making process but also in deciding the suitable surgical technique on patient such as valve implication or ring placement. In this paper, we will discuss on techniques that have been applied recently in detection of tricuspid valve’s leaflets and as for experiment, three dimensional transesophageal echocardiography images were used using pixel tracking technique and thin tissue detector. Our findings will be focusing more on those techniques applied on 3D echocardiography images from different angels and positions.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Borges, N.E., Lange, R.A.: Tricuspid Valve Anatomy (2016). Cited 10 Aug 2016

    Google Scholar 

  2. American Heart Association: Transesophageal Echocardiography (TEE) (2015). Cited 10 Aug 2016

    Google Scholar 

  3. Zhi, D., Yu-Ning, D.: An Algorithm for 3D Image Segmentation. IEEE (2007)

    Google Scholar 

  4. El-Baz, A.S., et al.: Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies, vol. 1. Springer Science & Business Media, Heidelberg (2011). https://doi.org/10.1007/978-1-4419-8195-0

  5. Nasir, N.R.M., et al.: 3 Dimensional reconstruction of tricuspid valve using transesophagel echocardiography images. IEEE (2014)

    Google Scholar 

  6. Nasir, N.R.M., et al.: Tricuspid valve extraction in transesophageal echocardiography. In: Advanced Computer and Communication Engineering Technology, pp. 1187–1197. Springer, Heidelberg (2016)

    Google Scholar 

  7. Burlina, P., et al.: Patient-specific modeling and analysis of the mitral valve using 3D-TEE. Springer, Heidelberg (2010)

    Google Scholar 

  8. Schneider, R.J., et al.: Modeling mitral valve leaflets from three-dimensional ultrasound. Springer, Heidelberg (2011)

    Google Scholar 

  9. Schneider, R.J., et al.: Mitral annulus segmentation from 3D ultrasound using graph cuts. IEEE Trans. Med. Imaging 29(9), 1676–1687 (2010)

    Article  Google Scholar 

  10. Schneider, R.J., et al.: Mitral annulus segmentation from four-dimensional ultrasound using a valve state predictor and constrained optical flow. Med. Image Anal. 16(2), 497–504 (2012)

    Article  Google Scholar 

  11. Schneider, R.J., et al.: Patient-specific mitral leaflet segmentation from 4D ultrasound. Springer, Heidelberg (2011)

    Google Scholar 

  12. Zhou, X., Yang, C., Yu, W.: Automatic mitral leaflet tracking in echocardiography by outlier detection in the low-rank representation. IEEE (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Naziffa Raha Md. Nasir .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nasir, N.R.M., Rahmat, R.W.O.K., Sulaiman, P.S., Kadiman, S., Dimon, M.Z. (2019). Identification of Leaflet Using Pixel Tracker Technique in Echocardiogram. In: Othman, M., Abd Aziz, M., Md Saat, M., Misran, M. (eds) Proceedings of the 3rd International Symposium of Information and Internet Technology (SYMINTECH 2018). SYMINTECH 2018. Lecture Notes in Electrical Engineering, vol 565. Springer, Cham. https://doi.org/10.1007/978-3-030-20717-5_11

Download citation

Publish with us

Policies and ethics