Skip to main content
SpringerLink
Log in
Book cover

What’s New in Cardiovascular Imaging? pp 363–376Cite as

Overview of automated quantitation techniques in 2D echocardiography

  • Chapter

Part of the book series: Developments in Cardiovascular Medicine ((DICM,volume 204))

Summary

Many methods for automated quantitation in two-dimensional echocardiography have been published, but few have gained practical importance. This chapter describes the problems and pitfalls of border detection in cardiac ultrasound, gives an overview of methods described in the literature and categorizes the applied techniques into a hierarchy of abstraction levels. Furthermore, a practical system for automated border detection (ECHO-CMS) and its evaluation will be discussed, and the chapter will be concluded with an overview of the general developments anticipated for the near future.

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

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Sher DB, Revankar S, Rosenthal S. Computer methods in quantitation of cardiac wall parameters from two dimensional echocardiograms: a survey. Int J Card Imaging 1992;8:11–26.

    Article  PubMed  CAS  Google Scholar 

  2. Cheng XS. Design and implementation of an image understanding system: DADS [dissertation]. Delft: Delft University of Technology; 1990.

    Google Scholar 

  3. Smets C. A knowledge-based system for the automatic interpretation of blood vessels on angiograms [dissertation]. Leuven; Catholic University Leuven; 1990.

    Google Scholar 

  4. Grube E, Mathers F, Backs B, Luderitz B. Automatische und halbautomatische Konturfindung des linken Ventrikels im zweidimensionalen Echokardiogramm. In-vitro Untersuchungen an formalinfixierten Schweineherzen. Z Kardiol 1985;74:15–22.

    PubMed  CAS  Google Scholar 

  5. Ezekiel A, Garcia EV, Areeda JS, Corday SR. Automatic and intelligent left ventricular contour detection from two-dimensional echocardiograms. 1985:261–264.

    Google Scholar 

  6. Klingler JW Jr, Vaughan CL, Fraker TD Jr, Andrews LT. Segmentation of echocardiographic images using mathematical morphology. IEEE Trans Biomed Eng 1988;35:925–934.

    Article  PubMed  Google Scholar 

  7. Montilla G, Barrios V, Roux C, Mora F, Passariello G. Border detection in echocardiography images using texture analysis. Comput Cardiol 1992:643–646.

    Google Scholar 

  8. Setarehdan SK, Soraghan JJ. Automatic left ventricular feature extraction and visualisation from echocardiographic images. Comput Cardiol 1996:9–12.

    Google Scholar 

  9. Verlande M, Flachskampf FA, Schneider W, Ameling W, Hanrath P. 3D reconstruction of the beating left ventricle and mitral valve based on multiplanar TEE. Comput Cardiol 1991:285–288.

    Google Scholar 

  10. Perez JE, Waggoner AD, Barzilai B, Melton HE Jr, Miller JG, Sobel BE. On-line assessment of ventricular function by automatic boundary detection and ultrasonic backscatter imaging. J Am Coll Cardiol 1992;19:313–320.

    Article  PubMed  CAS  Google Scholar 

  11. Han CY, Lin KW, Wee WG, Mintz RM, Porembka DT. Knowledge-based image analysis for automated boundary extraction of transesophageal echocardiographic left-ventricular images. IEEE Trans Med Imaging 1991;10:602–610.

    Article  PubMed  CAS  Google Scholar 

  12. Monteiro AP, Marques de Sa JP, Abreu-Lima C. Automatic detection of echocardiographic LV-contours. A new image enhancement and sequential tracking method. Comput Cardiol 1988:453–456.

    Google Scholar 

  13. Hozumi T, Yoshida K, Yoshioka H et al. Echocardiographic estimation of left ventricular cavity area with a newly developed automated contour tracking method. J Am Soc Echocardiogr 1997;10:822–829.

    Article  PubMed  CAS  Google Scholar 

  14. Chu CH, Delp EJ, Buda AJ. Detecting left ventricular endocardial and epicardial boundaries by digital two-dimensional echocardiography. IEEE Trans Med Imaging 1988;7:81–90.

    Article  PubMed  CAS  Google Scholar 

  15. Feng J, Lin W-C, Chen CT. Epicardial boundary detection using fuzzy reasoning. IEEE Trans Med Imaging 1991;10:187–199.

    Article  PubMed  CAS  Google Scholar 

  16. Chalana V, Linker DT. A multiple active contour model for cardiac boundary detection on echocardio-graphic sequences. IEEE Trans Med Imaging 1996;15:290–298.

    Article  PubMed  CAS  Google Scholar 

  17. Dong L, Pelle G, Brun P, Unser M. Model-based boundary detection in echocardiography using dynamic-programming technique. Proc SPIE 1991:1445;178–187.

    Article  Google Scholar 

  18. Friedland N, Adam D. Echocardiographic myocardial edge detection using an optimization protocol. Com-put Cardiol 1989:379–382.

    Google Scholar 

  19. Belohlavek M, Manduca A, Behrenbeck T, Seward JB, Greenleaf JF. Image-analysis using modified self-organizing maps: automated delineation of the left-ventricular cavity in serial echocardiograms. Lecture Notes Comput Sci 1996;1131:247–252.

    Article  Google Scholar 

  20. Cootes TF, Hill A, Taylor CJ, Haslam J. Use of active shape models for locating structures in medical images. Image Vision Comput 1994;12:355–365.

    Article  Google Scholar 

  21. Detmer PR, Bashein G, Martin RW. Wall position and thickness estimation from sequences of echocardiographic images. IEEE Trans Med Imaging 1990;9:396–404.

    Article  PubMed  CAS  Google Scholar 

  22. Wilson DC, Geiser EA. Automatic center point determination in two-dimensional short-axis echocardiographic images. Pattern Recogn 1992;25:893–900.

    Article  Google Scholar 

  23. Herlin IL, Nguyen C, Graffigne C. Stochastic segmentation of ultrasound images. In: Recognition A: Computer vision and applications. The Hague. IEEE Computer Society Press, 1992:289–292.

    Google Scholar 

  24. Bosch JG, Savalle LH, Van Burken G, Reiber JHC. Evaluation of a semiautomatic contour detection approach in sequences of short-axis two-dimensional echocardiographic images. J Am Soc Echocardiogr 1995;8:810–821.

    Article  PubMed  CAS  Google Scholar 

  25. Maes L, Delaere D, Suetens P, Aubert A, Van der Werf F. Automated contour detection of the left ventricle in short axis view and long axis view on 2D echocardiograms. Comput Cardiol 1990:603–606.

    Google Scholar 

  26. Gustavsson T, Molander S, Pascher R, Liang Q, Broman H, Caidahl K. A model-based procedure for fully automated boundary detection and 3D reconstruction from 2D echocardiograms. Comput Cardiol 1994:209–212.

    Google Scholar 

  27. Dias JMB, Leitao JMN. Wall position and thickness estimation from sequences of echocardiographic images. IEEE Trans Med Imaging 1996;15:25–38.

    Article  PubMed  CAS  Google Scholar 

  28. Cohen LD. Note on active contour models and balloons. CVGIP 1991;53:211–218.

    Article  Google Scholar 

  29. Coppini G, Poli R, Valli G. Recovery of the 3-D shape of the left ventricle from echocardiographic images. IEEE Trans Med Imaging 1995;14:301–317.

    Article  PubMed  CAS  Google Scholar 

  30. Brotherton T, Pollard T, Simpson P, DeMaria A. Echocardiogram structure and tissue classification using hierarchical fuzzy neural networks. In: ICASSP 94 Proceedings. New York: IEEE; 1994. p. 573–576.

    Google Scholar 

  31. Bosch JG, Reiber JHC, Van Burken G, Savalle L, Maurincomme E, Helbing WA. Automated contour detection and acoustic quantification. Eur Heart J 1995;l6(Suppl J):35–4l.

    Article  Google Scholar 

  32. Picard MH, Bosch HG, Morrissey RL, Reiber JHC. Automated echocardiographic ventricular volume quantitation: validation of a new border detection method [abstract]. Circulation 1994;90(4 Suppl):I608.

    Google Scholar 

  33. Nijland F, Kamp O, Verhorst PMJ, De Voogt WG, Bosch HG, Visser CA. Myocardial viability: impact on left ventricular dilatation after acute myocardial infarction. J Am Coll Cardiol. In press 1998.

    Google Scholar 

Download references

Authors
  1. Hans G. Bosch
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gerard van Burken
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Francisca Nijland
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Johan H. C. Reiber
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Division of Image Processing, Department of Radiology, Department of Cardiology, Leiden University Medical Center, The Netherlands

    Johan H. C. Reiber

  2. Interuniversity Cardiology Institute of the Netherlands (ICIN), Utrecht, The Netherlands

    Johan H. C. Reiber  & Ernst E. Van Der Wall  & 

  3. Department of Cardiology, Leiden University Medical Center, The Netherlands

    Ernst E. Van Der Wall

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Bosch, H.G., van Burken, G., Nijland, F., Reiber, J.H.C. (1998). Overview of automated quantitation techniques in 2D echocardiography. In: Reiber, J.H.C., Van Der Wall, E.E. (eds) What’s New in Cardiovascular Imaging?. Developments in Cardiovascular Medicine, vol 204. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5123-8_28

Download citation

  • DOI: https://doi.org/10.1007/978-94-011-5123-8_28

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6154-4

  • Online ISBN: 978-94-011-5123-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation