Skip to main content

Simulation and Visualization to Support Breast Surgery Planning

  • Conference paper
  • First Online:
Breast Imaging (IWDM 2016)

Abstract

Today, breast surgeons plan their procedures using pre-operatively placed metal clips or radioactive seeds and radiological images. These images show the breast in a positioning different from the one during surgery. We show a research prototype that eases the surgeon’s planning task by providing 3D visualizations based on the radiological images. With a FEM-based deformation simulation, we mimic the real surgical scenario. In particular, we have developed a ligament model that increases the robustness of a fully automatic prone-supine deformation simulation, and we have developed specific visualization methods to aid intra-operative breast lesion localization.

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 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

Institutional subscriptions

References

  1. Behrenbruch, C., Marias, K., Armitage, P., Moore, N., Clarke, J., Brady, M.: Prone-supine breast MRI registration for surgical visualisation. In: Proceedings of Medical Image Understanding and Analysis, pp. 109–112 (2001)

    Google Scholar 

  2. Carter, T.J., Tanner, C., Crum, W.R., Beechey-Newman, N., Hawkes, D.J.: A framework for image-guided breast surgery. In: Yang, G.Z., Jiang, T.-Z., Shen, D., Gu, L., Yang, J. (eds.) MIAR 2006. LNCS, vol. 4091, pp. 203–210. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  3. Eguchi, T., Takasuna, K., Kitazawa, A., Fukuzawa, Y., Sakaue, Y., Yoshida, K., Matsubara, M.: Three-dimensional imaging navigation during a lung segmentectomy using an iPad. Eur. J. Cardio-Thorac. Surg. Official J. Eur. Assoc. Cardio-thorac. Surg. 41(4), 893–897 (2012)

    Article  Google Scholar 

  4. Eiben, B., Vavourakis, V., Hipwell, J., Kabus, S., Buelow, T., Lorenz, C., Mertzanidou, T., Reis, S., Williams, N., Keshtgar, M., Hawkes, D.: Symmetric biomechanically guided prone-to-supine breast image registration. Ann. Biomed. Eng. 44(1), 154–173 (2016)

    Article  Google Scholar 

  5. Gavaghan, K.A., Peterhans, M., Oliveira-Santos, T., Weber, S.: A portable image overlay projection device for computer-aided open liver surgery. IEEE Trans. Bio-Med. Eng. 58(6), 1855–1864 (2011)

    Article  Google Scholar 

  6. Han, L., Hipwell, J., Eiben, B., Barratt, D., Modat, M., Ourselin, S., Hawkes, D.: A nonlinear biomechanical model based registration method for aligning prone and supine mr breast images. IEEE Trans. Med. Imaging 33(3), 682–694 (2014)

    Article  Google Scholar 

  7. Hansen, C., Zidowitz, S., Ritter, F., Lange, C., Oldhafer, K., Hahn, H.: Risk maps for liver surgery. Int. J. Comp. Ass. Radiol. Surg. 8, 419–428 (2013)

    Article  Google Scholar 

  8. Harz, M.T.: Complexity Reduction in Image-Based Breast Cancer Care. Ph.D. thesis, University of Bremen (2014). http://elib.suub.uni-bremen.de/edocs/00104007-1.pdf

  9. Koehn, A., Matsuyama, R., Endo, I., Schenk, A.: Liver surgery data and augmented reality in the operation room: experiences using a tablet device. Int. J. Comput. Assist. Radiol. Surg. Surg./Interv. Navig. S111 (2014)

    Google Scholar 

  10. Lang, H., Radtke, A., Hindennach, M., Schroeder, T., Fruehauf, N., Malago, M., Bourquain, H., Peitgen, H., Oldhafer, K., Broelsch, C.: Impact of virtual tumor resection and computer-assisted risk analysis on operation planning and intraoperative strategy in major hepatic resection. Arch. Surg. 140, 629–638 (2005)

    Article  Google Scholar 

  11. Liao, H., Inomata, T., Sakuma, I., Dohi, T.: 3-D augmented reality for MRI-guided surgery using integral videography autostereoscopic image overlay. IEEE Trans. Bio-Med. Eng. 57(6), 1476–1486 (2010)

    Article  Google Scholar 

  12. Limmer, S., Stoecker, C., Dicken, V., Krass, S., Wolken, H., Kujath, P.: Computer-assisted visualization of central lung tumours based on 3-dimensional reconstruction. In: CT Scanning Techniques and Applications, pp. 205–228 (2011)

    Google Scholar 

  13. Moltz, J., Bornemann, L., Kuhnigk, J.M., Dicken, V., Peitgen, E., Meier, S., Peitgen, H.O.: Advanced segmentation techniques for lung nodules, liver metastases, and enlarged lymph nodes in CT scans. IEEE J. Select. Topics Sig. Process. 3, 122–134 (2009)

    Article  Google Scholar 

  14. Nakamura, R., Nagashima, T., Sakakibara, M., Sangai, T., Fujimoto, H., Arai, M., Shida, T., Kaneoya, K., Ueda, T., Nakatani, Y., Hashimoto, H., Miyazaki, M.: Breast-conserving surgery using supine magnetic resonance imaging in breast cancer patients receiving neoadjuvant chemotherapy. Breast 17(3), 245–251 (2008)

    Article  Google Scholar 

  15. Pätz, T., Harz, M., Wang, L., Stöcker, C., Schilling, K., Colletta, J., Schlooz-Vries, M., Hahn, H., Georgii, J.: Sliding motion in breast deformation modeling. In: 3rd MICCAI Workshop on Breast Image Analysis (2015)

    Google Scholar 

  16. Razavi, M., Wang, L., Gubern-Merida, A., Ivanovska, T., Laue, H., Karssemeijer, N., Hahn, H.K.: Towards accurate segmentation of fibroglandular tissue in breast mri using fuzzy c-means and skin-folds removal. In: 18th International Conference on Image Analysis and Processing (2015)

    Google Scholar 

  17. Saji, H., Inoue, T., Kato, Y., Shimada, Y., Hagiwara, M., Kudo, Y., Akata, S., Ikeda, N.: Virtual segmentectomy based on high-quality three-dimensional lung modelling from computed tomography images. Interact. CardioVasc. Thorac. Surg. 17, 227–232 (2013)

    Article  Google Scholar 

  18. Schenk, A., Haemmerich, D., Preusser, T.: Planning of image-guided interventions in the liver. IEEE Pulse 2, 48–55 (2011)

    Article  Google Scholar 

  19. Stoecker, C., Bornemann, L., Dicken, V., Krass, S., Kuhnigk, J., Zidowitz, S., Peitgen, H.: CT-based patient individual anatomical modeling of the lung and its impact on thoracic surgery. In: World Congress on Medical Physics 2009, IFMBE Proceedings, vol. 25. pp. 1592–1595 (2010)

    Google Scholar 

  20. Stoecker, C., Harz, M., Schlooz-Vries, M., Mann, R., Schilling, K., Colletta, J., Georgii, J., Paetz, T., Hahn, H.K.: MRI-based visualization and augmented reality for breast surgery planning and guidance. In: Proceedings of CURAC (2015)

    Google Scholar 

  21. Stoecker, C., Welter, S., Klemm, W., Beckers, F., Witte, B., Krass, S.: Computer assistance in lung surgery for segment resections and minimally invasive surgery. In: Proceedings of CURAC, pp. 299–304 (2015)

    Google Scholar 

  22. Volonte, F., Robert, J., Ratib, O., Triponez, F.: A lung segmentectomy performed with 3D reconstruction images available on the operating table with an iPad. Interact. CardioVasc. Thorac. Surg. 12, 1066–1068 (2011)

    Article  Google Scholar 

  23. Wang, L., Filippatos, K., Friman, O., Hahn, H.K.: Fully automated segmentation of the pectoralis muscle boundary in breast MR images (2011)

    Google Scholar 

  24. Wang, L., Platel, B., Ivanovskaya, T., Harz, M., Hahn, H.: Fully automatic breast segmentation in 3d breast MRI. In: 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1024–1027 (2012)

    Google Scholar 

Download references

Acknowledgments

The presented work has partially been funded under the European Union FP7 Virtual Physiological Human grant number 601040, VPH-PRISM.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joachim Georgii .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Georgii, J. et al. (2016). Simulation and Visualization to Support Breast Surgery Planning. In: Tingberg, A., LĂĄng, K., Timberg, P. (eds) Breast Imaging. IWDM 2016. Lecture Notes in Computer Science(), vol 9699. Springer, Cham. https://doi.org/10.1007/978-3-319-41546-8_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-41546-8_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41545-1

  • Online ISBN: 978-3-319-41546-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics