Skip to main content
SpringerLink
Log in
SpringerLink
Log in

Generation of Synthetic 4D Cardiac CT Images for Guidance of Minimally Invasive Beating Heart Interventions

  • Conference paper
Information Processing in Computer-Assisted Interventions (IPCAI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7915))

Abstract

Off-pump beating heart surgery requires a guidance system that would show both pertinent cardiac anatomy and dynamic motion both peri- and intra-operatively. Optimally, the guidance system should show high quality images and models in a cost-effective way and can be easily integrated into standard clinical workflow. However, such a goal is difficult to accomplish by a single image modality. In this paper we introduce a method of generating a synthetic 4D cardiac CT dataset using a single (static) CT, along with 4D ultrasound images. These synthetic images can be combined with intra-operative ultrasound during the surgery to provide an intuitive and effective augmented virtuality guidance system. The generation method obtains patient specific cardiac motion information by performing non-rigid registrations between pre-operative 4D ultrasound images and applies the deformation to a static CT image to deform it into a series of dynamic CT images. Validations was performed by comparing the synthetic CT images to real dynamic CT images.

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 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 72.00
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. Dotty, D.B., Flores, J.H., Doty, J.R.: Cardiac valve operations using a partial sternotomy technique. J. Card. Surg. 15, 35–42 (2000)

    Article  Google Scholar 

  2. Vassiliades, T.A., Block, P.C., Cohn, L.H.: The clinical development of percutaneous heart valve technology. J. Thorac. Cardiovasc. Surg. 129, 970–976 (2005)

    Article  Google Scholar 

  3. McVeigh, E.R., Guttman, M.A., Kellman, P., Raval, A.A., Lederman, R.J.: Real-time interactive MRI for cardiovascular interventions. Acad. Radiol. 12, 1221–1227 (2005)

    Article  Google Scholar 

  4. Linte, C.A., Moore, J., Wedlake, C., Bainbridge, D., Guiraudon, G.M., Jones, D.L., Peters, T.M.: Inside the beating heart: An in vivo feasibility study on fusing pre- and intra-operative imaging for minimally invasive therapy. Journal of Computer Assisted Radiology and Surgery 4(2), 113–123 (2009)

    Article  Google Scholar 

  5. Linte, C.A., Moore, J., Wiles, A.D., Wedlake, C., Peters, T.M.: Virtual reality-enhanced ultrasound guidance: A novel technique for intracardiac interventions. Comput Aided Surg. 13(2), 82–94 (2008)

    Google Scholar 

  6. Huang, X., Hill, N.A., Ren, J., Guiraudon, G.M., Boughner, D.R., Peters, T.M.: Dynamic 3D ultrasound and MR image registration of the beating heart. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3750, pp. 171–178. Springer, Heidelberg (2005)

    Google Scholar 

  7. Shuman, W.P., Branch, K.R., May, J.M., Mitsumori, L.M., Lockhart, D.W., Dubinsky, T.J., Warren, B.H., Caldwell, J.H.: Prospective versus retrospective ECG gating for 64-detector CT of the coronary arteries: comparison of image quality and patient radiation dose. Radiology 248(2), 431–437 (2008)

    Article  Google Scholar 

  8. Li, F., Lang, P., Rajchl, M., Chen, E.C.S., Guiraudon, G., Peters, T.M.: Towards real-time 3D US-CT registration on the beating heart for guidance of minimally invasive cardiac interventions. In: Proc. SPIE, vol. 8316, p. 831615 (2012)

    Google Scholar 

  9. Ledesma-Carbayo, M.J., Kybic, J., Desco, M., Santos, A., Suhling, M., Hunziker, P., Unser, M.: Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation. IEEE Trans. Med. Imaging 24(9), 1113–1126 (2005)

    Article  Google Scholar 

  10. Shi, W., Zhuang, X., Wang, H., Duckett, S., Luong, D.V., Tobon-Gomez, C., Tung, K., Edwards, P.J., Rhode, K.S., Razavi, R.S., Ourselin, S., Rueckert, D.: A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration. IEEE Trans. Med. Imaging 31(6), 1263–1275 (2012)

    Article  Google Scholar 

  11. Wierzbicki, M., Drangova, M., Guiraudon, G.M., Peters, T.M.: Validation of dynamic heart models obtained using non-linear registration for virtual reality training, planning, and guidance of minimally invasive cardiac surgeries. Medical Image Analysis 8(3), 387–401 (2004)

    Article  Google Scholar 

  12. Sundara, H., Littb, H., Shen, D.: Estimating myocardial motion by 4D image warping. Journal Pattern Recognition 42(11), 2514–2526 (2009)

    Article  Google Scholar 

  13. Modat, M., Taylor, Z.A., Barnes, J., Hawkes, D.J., Fox, N.C., Ourselin, S.: Fast free-form deformation using graphics processing units. Comput. Meth. Prog. Bio. 98(3), 278–284 (2010)

    Article  Google Scholar 

  14. Peyrat, J.M., Delingette, H., Sermesant, M., Pennec, X., Xu, C., Ayache, N.: Registration of 4D time-series of cardiac images with multichannel Diffeomorphic Demons. Med. Image. Comput. Comput. Assist. Interv. 11(Pt. 2), 972–979 (2008)

    Google Scholar 

  15. Vemuri, B.C., Ye, J., Chen, Y., Leonard, C.M.: Image registration via level-set motion: applications to atlas-based segmentation. Medical Image Analysis 7, 1–20 (2003)

    Article  Google Scholar 

  16. Pluim, J.P.W., Antoine Maintz, J.B., Viergever, M.A.: Mutual information based registration of medical images: a survey. IEEE Trans. Med. Imaging 22(8), 986–1004 (2003)

    Article  Google Scholar 

  17. Rogalla, P., Kloeters, C., Hein, P.A.: CT technology overview: 64-slice and beyond. Radiol. Clin. North Am. 47(1), 1–11 (2009)

    Article  Google Scholar 

  18. Coupé, P., Hellier, P., Kervrann, C., Barillot, C.: NonLocal Means-based Speckle Filtering for Ultrasound Images. IEEE Transactions on Image Processing 18(10), 2221–2229 (2009)

    Article  MathSciNet  Google Scholar 

  19. Buades, A., Coll, B., Morel, J.M.: A review of image denoising algorithms, with a new one. Multiscale Modeling & Simulation 4(2), 490–530 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  20. Rajchl, M., Yuan, J., Ukwatta, E., Peters, T.M.: Fast interactive multi-region cardiac segmentation with linearly ordered labels. In: 9th IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1409–1412 (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Imaging Research Laboratories, Robarts Research Institute, London, ON, UK

    Feng P. Li, Martin Rajchl, James A. White & Terry M. Peters

  2. Biomedical Engineering Graduate Program, Western University, London, ON, UK

    Feng P. Li, Martin Rajchl & Terry M. Peters

  3. Division of Cardiology, Department of Medicine, Western University, London, ON, UK

    James A. White

  4. Department of Medical Imaging, Western University, London, ON, UK

    Aashish Goela

Authors
  1. Feng P. Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Martin Rajchl
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. James A. White
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Aashish Goela
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Terry M. Peters
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Centre for Medical Image Computing, University College London, WC1E 6BT, London, UK

    Dean Barratt

  2. INRIA, Shacra, 59650, Villeneuve d’Ascq, France

    Stéphane Cotin

  3. School of Computing, Queen’s University, K7L 3N6, Kingston, ON, Canada

    Gabor Fichtinger

  4. Inserm/Université de Rennes 1, 2, Avenue du Pr. Léon Bernard CS 34317, 35043, Rennes, France

    Pierre Jannin

  5. Department of Computer Science, Technische Universität München, Boltzmannstrasse 3, 85748, Garching, Germany

    Nassir Navab

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Li, F.P., Rajchl, M., White, J.A., Goela, A., Peters, T.M. (2013). Generation of Synthetic 4D Cardiac CT Images for Guidance of Minimally Invasive Beating Heart Interventions. In: Barratt, D., Cotin, S., Fichtinger, G., Jannin, P., Navab, N. (eds) Information Processing in Computer-Assisted Interventions. IPCAI 2013. Lecture Notes in Computer Science, vol 7915. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38568-1_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38568-1_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38567-4

  • Online ISBN: 978-3-642-38568-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation