Skip to main content

Evaluation of Different Mapping Techniques for the Integration of Electro-Anatomical Voltage and Imaging Data of the Left Ventricle

  • Conference paper
Functional Imaging and Modeling of the Heart (FIMH 2013)

Abstract

Integration of electrical and structural information about substrate in the left ventricle is very important to guide ablation therapies in ventricular tachycardia cases. This integration asks for finding a mapping between electro-anatomical voltage mapping and delay-enhancement magnetic resonance images. We present an evaluation of the accuracy of some mapping strategies, including different standard rigid and non-rigid registration techniques. We also developed a new mapping algorithm to be applied once both geometries are roughly aligned to improve the currently used simple closest point projection. The new mapping algorithm is based on establishing a homeomorphism between both surfaces using a common surface parametrization computed by mesh flattening, then preserving all original information in both modalities. We applied the different mapping strategies to clinical and synthetic data. Results demonstrated a substantial reduction of the point-to-surface error when using the non-rigid registration technique and an improved substrate overlap when using the proposed mapping algorithm.

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. Berruezo, A., Fernández-Armenta, J., Mont, L., Zeljko, H., Andreu, D., Herczku, C., Boussy, T., Tolosana, J.M., Arbelo, E., Brugada, J.: Combined endocardial and epicardial catheter ablation in arrhythmogenic right ventricular dysplasia incorporating scar dechanneling technique. Circulation: Arrhythmia and Electrophysiology 5(1), 111–121 (2012)

    Article  Google Scholar 

  2. Andreu, D., Berruezo, A., Ortiz-Pérez, J., Silva, E., Mont, L., Borràs, R., de Caralt, T., Perea, R., Fernández-Armenta, J., Zeljko, H., Brugada, J.: Integration of 3D electroanatomic maps and magnetic resonance scar characterization into the navigation system to guide ventricular tachycardia ablation. Circulation: Arrhythmia and Electrophysiology 4(5), 674–683 (2011)

    Article  Google Scholar 

  3. Li-Fern, H.: Image integration for catheter ablation: searching for the perfect match. Heart Rhythm 5(4), 536–537 (2008)

    Article  Google Scholar 

  4. Tao, Q., Milles, J., Van Huls Van Taxis, C., et al.: Toward magnetic resonance-guided electroanatomical voltage mapping for catheter ablation of scar-related ventricular tachycardia: A comparison of registration methods. Journal of Cardiovascular Electrophysiology 23(1), 74–80 (2012)

    Article  Google Scholar 

  5. Roujol, S., Basha, T., et al.: Improved multi-modality data fusion of late gadolinium enhancement MRI to left ventricular voltage maps in ventricular tachycardia ablation. IEEE Transactions on Biomedical Engineering (2012) (in press)

    Google Scholar 

  6. Tobon-Gomez, C., Sukno, F., Butakoff, C., Huguet, M., Frangi, A.: Automatic training and reliability estimation for 3D ASM applied to cardiac MRI segmentation. Physics in Medicine and Biology 57(13), 41–55 (2012)

    Article  Google Scholar 

  7. Besl, P., McKay, H.: A method for registration of 3-d shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence 14(2), 239–256 (1992)

    Article  Google Scholar 

  8. Vaillant, M., Glaunès, J.: Surface matching via currents. In: Christensen, G.E., Sonka, M. (eds.) IPMI 2005. LNCS, vol. 3565, pp. 381–392. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  9. De Craene, M., Tobon-Gomez, C., Butakoff, C., Duchateau, N., Piella, G., Rhode, K.S., Frangi, A.F.: Temporal diffeomorphic free form deformation (TDFFD) applied to motion and deformation quantification of tagged MRI sequences. In: Camara, O., Konukoglu, E., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds.) STACOM 2011. LNCS, vol. 7085, pp. 68–77. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  10. Tutte, W.: How to draw a graph. Proceedings of the London Mathematical Society 13(3), 743–768 (1963)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Soto-Iglesias, D., Butakoff, C., Andreu, D., Fernández-Armenta, J., Berruezo, A., Camara, O. (2013). Evaluation of Different Mapping Techniques for the Integration of Electro-Anatomical Voltage and Imaging Data of the Left Ventricle. In: Ourselin, S., Rueckert, D., Smith, N. (eds) Functional Imaging and Modeling of the Heart. FIMH 2013. Lecture Notes in Computer Science, vol 7945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38899-6_46

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38899-6_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38898-9

  • Online ISBN: 978-3-642-38899-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics