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.
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References
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)
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)
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)
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)
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)
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)
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)
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
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)
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)
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)
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)
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)
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)
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)
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)
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)
Schenk, A., Haemmerich, D., Preusser, T.: Planning of image-guided interventions in the liver. IEEE Pulse 2, 48–55 (2011)
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)
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)
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)
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)
Wang, L., Filippatos, K., Friman, O., Hahn, H.K.: Fully automated segmentation of the pectoralis muscle boundary in breast MR images (2011)
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)
Acknowledgments
The presented work has partially been funded under the European Union FP7 Virtual Physiological Human grant number 601040, VPH-PRISM.
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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
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DOI: https://doi.org/10.1007/978-3-319-41546-8_33
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