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Targeting Accuracy under Model-to-Subject Misalignments in Model-Guided Cardiac Surgery

  • Cristian A. Linte
  • John Moore
  • Andrew D. Wiles
  • Chris Wedlake
  • Terry M. Peters
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5761)

Abstract

In image-guided interventions, anatomical models of organs are often generated from pre-operative images and further employed in planning and guiding therapeutic procedures. However, the accuracy of these models, along with their registration to the subject are crucial for successful therapy delivery. These factors are amplified when manipulating soft tissue undergoing large deformations, such as the heart. When used in guiding beating-heart procedures, pre-operative models may not be sufficient for guidance and they are often complemented with real-time, intra-operative cardiac imaging. Here we demonstrate via in vitro endocardial “therapy” that ultrasound-enhanced model-guided navigation provides sufficient guidance to preserve a clinically-desired targeting accuracy of under 3 mm independently of the model-to-subject misregistrations. These results emphasize the direct benefit of integrating real-time imaging within intra-operative visualization environments considering that model-to-subject misalignments are often encountered clinically.

Keywords

Augmented Reality Therapy Delivery Iterative Close Point Beating Heart Virtual Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Doty, D.B., Flores, J.H., Doty, J.R.: Cardiac valve operations using a partial sternotomy technique. J. Card. Surg. 15, 35–42 (2000)CrossRefGoogle Scholar
  2. 2.
    Vassiliades, T.A., Block, P.C., Cohn, L.H., et al.: The clinical development of percutaneous heart valve technology. J. Thorac. Cardiovasc. Surg. 129, 970 (2005)CrossRefGoogle Scholar
  3. 3.
    Lutter, G., Ardehali, R., Cremer, J., et al.: Percutaneous valve replacement: current state and future prospects. Ann. Thor. Surg. 78, 2199–2206 (2004)CrossRefGoogle Scholar
  4. 4.
    Rettmann, M.E., Holmes, D.R., Robb, R.A.: An integrated system for real-time image-guided cardiac catheter ablation. In: Proc. of Medicine Meets Virtual Reality. Stud. Health Technol. Inform., vol. 119, pp. 455–460 (2006)Google Scholar
  5. 5.
    Peters, T.M., Cleary, K.: Image-guided Interventions: Technology and Applications. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  6. 6.
    Ma, Y., Rhode, K.S., Penney, G.P., et al.: Echocardiography to magnetic resonance image registration for use in image-guided electrophysiology procedures. In: Proc. of SPIE - Medical Imaging, vol. 7261, 72610Q–8 (2009)Google Scholar
  7. 7.
    Linte, C.A., Moore, J., Wedlake, C., et al.: Inside the beating heart: An in vivo feasibility study on fusing pre- and intra-operative imaging for minimally invasive therapy. Int. J. CARS 4, 113–122 (2009)CrossRefGoogle Scholar
  8. 8.
    Linte, C.A., Moore, J., Wiles, A.D., et al.: VR-enhanced US guidance: A novel technique for intracardiac interventions. Comput. Aided Surg. 13, 82–94 (2008)CrossRefGoogle Scholar
  9. 9.
    Sauer, F.: Image registration: Enabling technology for image-guided surgery and therapy. Proc. of IEEE Eng. Med. Biol. Soc., 7242–7245 (2005)Google Scholar
  10. 10.
    Wiles, A.D., Moore, J., Wedlake, C., et al.: Object identification accuracy under ultrasound enhanced virtual reality for minimally invasive cardiac surgery. In: Proc. of SPIE - Medical Imaging, vol. 6918, 69180E–12 (2008)Google Scholar
  11. 11.
    Gobbi, D.G., Comeau, R.M., Peters, T.M.: Ultrasound probe tracking for real-time ultrasound/MRI overlay and visualization of brain shift. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 920–927. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  12. 12.
    Linte, C.A., Moore, J., Wiles, A.D., et al.: In vitro cardiac catheter navigation via augmented reality surgical guidance. In: Proc. of SPIE. - Medical Imaging, vol. 7261, 72610–9 (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Cristian A. Linte
    • 1
  • John Moore
    • 1
  • Andrew D. Wiles
    • 1
  • Chris Wedlake
    • 1
  • Terry M. Peters
    • 1
  1. 1.Imaging Research Laboratories, Robarts Research Institute, Biomedical Engineering Graduate Program, Department of Medical BiophysicsUniversity of Western OntarioLondonCanada

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