Skip to main content
SpringerLink
Log in
Book cover

International Workshop on Statistical Atlases and Computational Models of the Heart

STACOM 2016: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges pp 201–210Cite as

Left Atrial Wall Segmentation Using Clinically Correlated Metrics

  • Conference paper
  • First Online:

  • 739 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10124))

Abstract

The thickness of the left atrium wall may be an important parameter in atrial fibrillation disease mechanisms and subsequent treatment by catheter ablation. We have previously developed a simple, threshold-based, direct wall thickness measure from CT that has been found to correlate with clinical outcomes. In this paper, we describe the application of this method to the segmentation of the left atrium wall in the 2016 STACOM Left Atrium Wall Thickness Challenge.

Our original method sought to partially automate the way a clinical researcher manually measures left atrial wall thickness to increase precision and repeatability. We have adapted our method to create a segmented volume instead of individual measurements in order to meet the challenge goals. We apply the method to the ten contrast-enhanced CT images provided.

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 EPUB and 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

References

  1. Suenari, K., Nakano, Y., Hirai, Y., Ogi, H., Oda, N., Makita, Y., Ueda, S., Kajihara, K., Tokuyama, T., Motoda, C., Fujiwara, M., Chayama, K., Kihara, Y.: Left atrial thickness under the catheter ablation lines in patients with paroxysmal atrial fibrillation: insights from 64-slice multidetector computed tomography. Heart Vessels 28, 360–368 (2012)

    Article  Google Scholar 

  2. Takahashi, K., Okumura, Y., Watanabe, I., Nagashima, K., Sonoda, K., Sasaki, N., Kogawa, R., Iso, K., Ohkubo, K., Nakai, T., Hirayama, A.: Relation between left atrial wall thickness in patients with atrial fibrillation and intracardiac electrogram characteristics and atp-provoked dormant pulmonary vein conduction. J. Cardiovasc. Electrophysiol. 26, 597–605 (2015)

    Article  Google Scholar 

  3. Wi, J., Lee, H.J., Uhm, J.S., Kim, J.Y., Pak, H.N., Lee, M., Kim, Y.J., Joung, B.: Complex fractionated atrial electrograms related to left atrial wall thickness. J. Cardiovasc. Electrophysiol. 25, 1141–1149 (2014)

    Article  Google Scholar 

  4. Koppert, M., Rongen, P.M., Prokop, M., ter Haar Romeny, B.M., van Assen, H.C.: Cardiac left atrium CT image segmentation for ablation guidance. In: 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 480–483. IEEE (2010)

    Google Scholar 

  5. Inoue, J., Skanes, A.C., White, J.A., Rajchl, M., Drangova, M.: Patient-specific left atrial wall-thickness measurement and visualization for radiofrequency ablation. In: SPIE Medical Imaging, 90361N-90361N-90366 (2014)

    Google Scholar 

  6. Inoue, J., Baxter, John, S.,H., Drangova, M.: Left atrial wall segmentation from CT for radiofrequency catheter ablation planning. In: Oyarzun Laura, C., Shekhar, R., Wesarg, S., González Ballester, M.Á., Drechsler, K., Sato, Y., Erdt, M., Linguraru, M.G. (eds.) CLIP 2015. LNCS, vol. 9401, pp. 71–78. Springer, Heidelberg (2016). doi:10.1007/978-3-319-31808-0_9

    Chapter  Google Scholar 

  7. Hall, B., Jeevanantham, V., Simon, R., Filippone, J., Vorobiof, G., Daubert, J.: Variation in left atrial transmural wall thickness at sites commonly targeted for ablation of atrial fibrillation. J. Interv. Card. Electrophysiol. 17, 127–132 (2006)

    Article  Google Scholar 

  8. Ho, S.Y., Sanchez-Quintana, D., Cabrera, J.A., Anderson, R.H.: Anatomy of the left atrium: implications for radiofrequency ablation of atrial fibrillation. J. Cardiovasc. Electrophysiol. 10, 1525–1533 (1999)

    Article  Google Scholar 

  9. Sanchez-Quintana, D., Cabrera, J.A., Climent, V., Farre, J., Mendonca, M.C., Ho, S.Y.: Anatomic relations between the esophagus and left atrium and relevance for ablation of atrial fibrillation. Circulation 112, 1400–1405 (2005)

    Article  Google Scholar 

  10. Inoue, J., Skanes, A.C., Gula, L.J., Drangova, M.: Effect of left atrial wall thickness on radiofrequency ablation success. J. Cardiovasc. Electrophysiol. 27, 1298–1303 (2016)

    Article  Google Scholar 

  11. Yushkevich, P.A., Piven, J., Hazlett, H.C., Smith, R.G., Ho, S., Gee, J.C., Gerig, G.: User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 31, 1116–1128 (2006)

    Article  Google Scholar 

Download references

Acknowledgements

This research was funded in part by Canadian Institutes for Health Research (CIHR) grant #27790.

Author information

Authors and Affiliations

  1. Robarts Research Institute, Western University, London, Canada

    Jiro Inoue & Maria Drangova

Authors
  1. Jiro Inoue
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Maria Drangova
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jiro Inoue .

Editor information

Editors and Affiliations

  1. Siemens Medical Solutions, Medical Imaging Technologies, Princeton, New Jersey, USA

    Tommaso Mansi

  2. Simula Research Laboratory, Oslo, Norway

    Kristin McLeod

  3. Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada

    Mihaela Pop

  4. Imaging Sciences and Biomedical Engineering, Rayne Institute, King’s College London, London, United Kingdom

    Kawal Rhode

  5. Inria, Asclepios Project, Sophia-Antipolis, France

    Maxime Sermesant

  6. Department of Radiology, Faculty of Medical and Health Sciences, Auckland University, Auckland, New Zealand

    Alistair Young

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Inoue, J., Drangova, M. (2017). Left Atrial Wall Segmentation Using Clinically Correlated Metrics. In: Mansi, T., McLeod, K., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2016. Lecture Notes in Computer Science(), vol 10124. Springer, Cham. https://doi.org/10.1007/978-3-319-52718-5_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-52718-5_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52717-8

  • Online ISBN: 978-3-319-52718-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation