Skip to main content
SpringerLink
Log in

Evaluation of the Inter-observer Cardiac Chamber Contour Extraction versus a Level Set Algorithm

  • Conference paper
Book cover ENTERprise Information Systems (CENTERIS 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 221))

Included in the following conference series:

  • 964 Accesses

Abstract

Segmentation of echocardiography images presents a great challenge because these images contain strong speckle noise and artifacts. Besides, most ultrasound segmentation methods are semi-automatic, requiring initial contour to be manually identified in the images. In this work, a level set algorithm based on the phase symmetry approach and on a new logarithmic based stopping function is used to extract simultaneously the four heart cavities in a fully automatic way. Then, those contours are compared with the ones obtained by four physicians to evaluate the performance, reliability and confidence for eventual clinical practice. That algorithm evaluation versus clinicians’ performance is made using several metrics, namely Similarity Region, Hausdorff distance, Accuracy, Overlap, Sensitivity, and Specificity. We show that the proposed algorithm performs well, producing contours very similar to the physicians’ ones with the advantage of being an automatic segmentation technique. The experimental work was based on echocardiography images of children.

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

Access this chapter

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Szabo, T.L.: Diagnostic Ultrasound Imaging: Inside out. Elsevier Academic Press (2004)

    Google Scholar 

  2. Noble, J.A.: Ultrasound image segmentation and tissue characterization. Institution of Mechanical Engineers, part H: Journal of Engineering in Medicine 224, 307–316 (2010)

    Article  Google Scholar 

  3. Binder, T.: Three-Dimensional Echocardiography - Principles and Promises. Journal of Clinical and Basic Cardiology 5, 149–152 (2002)

    Google Scholar 

  4. Lang, R.M., Mor-Avi, V., Dent, J.M., et al.: Three-Dimensional Echocardiography: Is it Ready for Everyday Clinical Use? Journal of the American College of Cardiology 2, 114–117 (2009)

    Article  Google Scholar 

  5. Suri, J.S., Setarehdan, S.K., Singh, S.: Advanced algorithmic approaches to medical image segmentation: state-of-the-art application in cardiology, neurology, mammography and pathology. Springer, New York (2002)

    Book  MATH  Google Scholar 

  6. Jacob, G., Noble, J.A., Behrenbruch, C., et al.: A shape-space-based approach to tracking myocardial borders and quantifying regional left-ventricular function applied in echocardiography. IEEE Transactions on Medical Imaging 21, 226–238 (2002)

    Article  Google Scholar 

  7. Noble, J.A., Boukerroui, D.: Ultrasound Image Segmentation: A Survey. IEEE Transactions on Medical Imaging 25, 987–1010 (2006)

    Article  Google Scholar 

  8. Bosh, J.G., Mitchell, S.C., Lelieveldt, B.P.F., et al.: Automatic Segmentation of Echocardiographic Sequences by Active Appearance Motion Models. IEEE Transations on Medical Imaging 21, 1374–1383 (2002)

    Article  Google Scholar 

  9. Antunes, S.G., Silva, J.S., Santos, J.B.: A New Level Set Based Segmentation Method for the Four Cardiac Chambers. In: V Iberian Conference on Information Systems and Technologies, Santiago de Compostela, Spain, vol. 1, pp. 173–178 (2010)

    Google Scholar 

  10. Antunes, S.G., Silva, J.S., Santos, J.B.: A Level Set Segmentation Method of the Four Heart Cavities in Pediatric Ultrasound Images. In: Campilho, A., Kamel, M. (eds.) ICIAR 2010, Part II. LNCS, vol. 6112, pp. 99–107. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  11. Santos, J.B., Celorico, D., Varandas, J., et al.: Medical interface for echographic free-hand images. International Journal for Computational Vision and Biomechanics, 33–39 (2010)

    Google Scholar 

  12. Silva, J.S., Santos, B.S., Silva, A., et al.: A Level-Set Based Volumetric CT Segmentation Technique: A Case Study with Pulmonary Air Bubbles. In: Campilho, A.C., Kamel, M.S. (eds.) ICIAR 2004. LNCS, vol. 3212, pp. 68–75. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  13. Silva, J.S., Silva, A., Santos, B.S., et al.: Detection and 3D representation of pulmonary air bubbles in HRCT volumes. In: SPIE Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications, USA, vol. 5031, pp. 430–439 (2003)

    Google Scholar 

  14. Silva, J.S., Cancela, J., Teixeira, L.: Intra-Patient Registration Methods for Thoracic CT Exams. In: Second International Conference on Bio-inspired System and Signal Processing, Porto, Portugal, pp. 285–290 (2009)

    Google Scholar 

  15. Silva, J.S., Silva, A., Santos, B.S.: Image denoising methods for tumor discrimination in high resolution computed tomography. Journal of Digital Imaging 24, 464–469 (2011)

    Article  Google Scholar 

  16. Silva, J.S., Cancela, J., Teixeira, L.: Fast Volumetric Registration Method for Tumor Follow-Up in Pulmonary CT Exams. Journal of Applied Clinical Medical Physics 12, 362–375 (2011)

    Google Scholar 

  17. Cancela, J., Silva, J.S., Teixeira, L.: Fast Intra-Patient 3D Registration Method for Pulmonary CT Exams. In: 3rd Iberian Conference in Systems and Information Technologies, Vigo, Spain, vol. 1, pp. 539–543 (2008)

    Google Scholar 

  18. Silva, J.S., Silva, A., Santos, B.S.: A volumetric pulmonary CT segmentation method with applications in emphysema assessment. In: SPIE Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, vol. 6143, pp. 885–896 (2006)

    Google Scholar 

  19. Ferreira, A., Morgado, A.M., Silva, J.S.: Automatic corneal nerves recognition for earlier diagnosis and follow-up of diabetic neuropathy. In: Campilho, A., Kamel, M. (eds.) ICIAR 2010, Part II. LNCS, vol. 6112, pp. 60–69. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  20. Vasconcelos, V., Silva, J.S., Marques, L., et al.: Statistical Textural Features for Classification of Lung Emphysema in CT Images: A comparative study. In: V Iberian Conference on Information Systems and Technologies, Santiago de Compostela, Spain, vol. 1, pp. 496–500 (2010)

    Google Scholar 

  21. Ferreira, C., Santos, B.S., Silva, J.S., et al.: Comparison of a Segmentation Algorithm to Six Expert Imagiologists in Detecting Pulmonary Contours on X-ray CT Images. In: SPIE Medical Imaging 2003: Image Perception, Observer Performance and Technology Assessment, vol. 5034, pp. 347–358 (2003)

    Google Scholar 

  22. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. International Journal of Computer Vision 1, 321–331 (1988)

    Article  MATH  Google Scholar 

  23. Osher, S., Sethian, J.A.: Fronts Propagation with Curvature Dependent Speed: Algorithms Based on Hamilton-Jacobi Formulations. Journal of Computational Physics 79, 12–49 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  24. Caselles, V., Kimmel, R., Sapiro, G.: Geodesic Active Contours. International Journal of Computer Vision 22, 61–79 (1997)

    Article  MATH  Google Scholar 

  25. Malladi, R., Sethian, J.A., Vemuri, B.C.: Shape Modeling with Front Propagation: A Level Set Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence 17, 158–175 (1995)

    Article  Google Scholar 

  26. Paragios, N., Deriche, R.: Geodesic active regions: A new framework to deal with frame partition problems in computer vision. Journal of Visual Communication and Image Representation 13, 249–268 (2002)

    Article  Google Scholar 

  27. Zhang, Y., Matuszewski, B.J., Shark, L.-K., et al.: Medical Image Segmentation Using New Hybrid Level-Set Method. In: Fifth International Conference Biomedical Visualization: Information Visualization in Medical and Biomedical Informatics, London, UK, pp. 71–76 (2008)

    Google Scholar 

  28. Chan, T.F., Vese, L.A.: Active Contours Without Edges. IEEE Transactions on Image Processing 10, 266–277 (2001)

    Article  MATH  Google Scholar 

  29. Antunes, S.G., Silva, J.S., Santos, J.B., et al.: Phase Symmetry Approach Applied to Children Heart Chambers Segmentation: A Comparative Study. IEEE Transactions on Biomedical Engineering 58, 2264–2271 (2011)

    Article  Google Scholar 

  30. Santos, B.S., Ferreira, C., Silva, J.S., et al.: Quantitative Evaluation of a Pulmonary Contour Segmentation Algorithm in X-ray Computed Tomography Images. Academic Radiology 11, 868–878 (2004)

    Article  Google Scholar 

  31. Silva, A., Silva, J.S., Santos, B.S., et al.: Fast Pulmonary Contour Extraction in X-ray CT Images: A Methodology and Quality Assessment. In: SPIE - Medical Imaging: Physiology and Function from Multidimensional Images, USA, vol. 4321, pp. 216–224 (2001)

    Google Scholar 

  32. Lopez, C.A., Fernandez, M.M., Alzola, J.R.: Comments on: A Methodology for Evaluation of Boundary Detection Algorithms on Medical Images. IEEE Transactions on Medical Imaging 23, 658–660 (2004)

    Article  Google Scholar 

  33. Chalana, V., Kim, Y.: A Methodology for Evaluation of Boundary Detection Algorithms on Medical Images. IEEE Transactions on Pattern Analysis and Machine Intelligence 16, 642–652 (1997)

    Google Scholar 

  34. Byrd, K.A., Zeng, J., Chouikha, M.: A Validation model for segmentation algorithms of digital mammography images. Journal of Applied Science & Engineering Technology 1, 41–50 (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Physics, FCTUC, University of Coimbra, Portugal

    Diogo Roxo & José Silvestre Silva

  2. Instrumentation Center, FCTUC, University of Coimbra, Portugal

    José Silvestre Silva

  3. Mechanical Engineering Center, FCTUC, University of Coimbra, Portugal

    Jaime B. Santos

  4. Department of Pediatric Cardiology, Pediatric Hospital of Coimbra, Portugal

    Paula Martins & Eduardo Castela

  5. HUC, Hospital of University of Coimbra, Largo Mota Pinto, Coimbra, Portugal

    Rui Martins

Authors
  1. Diogo Roxo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. José Silvestre Silva
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jaime B. Santos
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Paula Martins
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Eduardo Castela
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Rui Martins
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Polytechnic Institute of Cávado e Ave, 4750-810, Vila Frescainha S. Martinho, BCL, Portugal

    Maria Manuela Cruz-Cunha

  2. University of Trás-os-Montes e Alto Douro, 5001-801, Vila Real, Portugal

    João Varajão

  3. Birkbeck, University of London, WC1E 7HX, London, UK

    Philip Powell

  4. School of Technology and Management, Polytechnic Institute of Leiria, 2411-901, Leiria, Portugal

    Ricardo Martinho

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Roxo, D., Silva, J.S., Santos, J.B., Martins, P., Castela, E., Martins, R. (2011). Evaluation of the Inter-observer Cardiac Chamber Contour Extraction versus a Level Set Algorithm. In: Cruz-Cunha, M.M., Varajão, J., Powell, P., Martinho, R. (eds) ENTERprise Information Systems. CENTERIS 2011. Communications in Computer and Information Science, vol 221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24352-3_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24352-3_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24351-6

  • Online ISBN: 978-3-642-24352-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation