Abstract
The main challenge in the biopsy procedure is to guarantee reproducibility of the needle’s tip position between biopsies. The general solution addressed to overcome this challenge is an image-based navigation system. While these are widely used for rigid tissue, applications for soft tissues are in the preliminary implementation stage. The paper presents the stages of a method for rigid registration of uncut sections and ultrasound implantation of the breast surface and the possibility of their visualization in a common coordinate system. Measurement of the quality of surface fit is based on the distance between the registered markers indicated on the breast surface by the user. The proposed methodology obtains the median Fiducial Registration Error to fit the fragile, flat, mutual surface areas and match markers in the Time of Flight image to the positions indicated in the tracker coordinate system of 12, 6.9, 5.8 and 15 mm respectively. A current challenge in breast biopsy is the changing position of the needle tip between biopsies.
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References
Phee, S.J., Yang, K.: Interventional navigation systems for treatment of unresectable liver tumor. Med. Biol. Eng. Comput. 48, 103–111 (2010)
Neshat, H., Cool, D.W., Barker, K., Gardi, L., Kakani, N., Fenster, A.: A 3D ultrasound scanning system for image guided liver interventions. Med. Phys. 40, 112903 (2013)
Kenngott, H.G., Wagner, M., Gondan, M., Nickel, F., Nolden, M., Fetzer, A., et al.: Real-time image guidance in laparoscopic liver surgery: first clinical experience with a guidance system based on intraoperative CT imaging. Surg. Endosc. 28, 933–940 (2014)
Spinczyk, D.: Towards the clinical integration of an image-guided navigation system for percutaneous liver tumor ablation using freehand 2D ultrasound images. Comput. Aided Surg. 20, 61–72 (2015)
Ramiao N., Martins P., Fernandes A.A: Biomechanical properties of breast tissue. In: ENBENG 2013, pp. 1–6 (2013)
Juszczyk, J., Czajkowska, J., Pycinski, B., Piętka, E.: ToF-data-based modelling of skin surface deformation. In: Piętka, E., et al. (eds.) Information Technologies in Medicine, pp. 235–244. Springer International Publishing, Kamien Slaski (2016)
Spinczyk, D., Piętka, E.: Automatic generation of 3D lung model. In: Computer Recognition Systems 2. Advances in Intelligent and Soft Computing, vol. 45, pp. 671–678 (2007)
Zarychta, P., Konik, H., Zarychta-Bargiela, A.: Computer assisted location of the lower limb mechanical axis. In: Pietka, E., Kawa, J. (eds.) Information Technologies in Biomedicine. Lecture Notes in Bioinformatics, vol. 7339, pp. 93–100. Springer (2012)
Zarychta, P.: A new approach to knee joint arthroplasty. Comput. Med. Imaging Graph. 65, 32–45 (2017). https://doi.org/10.1016/j.compmedimag.2017.07.002
Baroni, G., Ferrigno, G., Orecchia, R., Pedotti, A.: Real-time opto-electronic verification of patient position in breast cancer radiotherapy. Comput. Aided Surg. 5(4), 296–306 (2000)
Spinczyk, D., Karwan, A., Copik, M.: Methods for abdominal respiratory motion tracking. Comput. Aided Surg. 19(1–3), 34–47 (2014)
Spinczyk, D., Fabian, S.: Target Registration Error minimization involving deformable organs using elastic body splines and Particle Swarm Optimization approach. Surg. Oncol. 26, 489–497 (2017)
Mesa-Imaging – manufactor website: SR4000 Data Sheet. http://www.mesa-imaging.ch/swissranger4000.php. Accessed 16 Nov 2018
Chiabrando, F., Chiabrando, R., Piatti, D., Rinaudo, F.: Sensors for 3D imaging: metric evaluation and calibration of a CCD/CMOS time-of-flight camera. J. Sensors 9(12), 10080–10096 (2009)
Horn, B.K.P., Hilden, H.M., Negahdaripour, S.: Closed-form solution of absolute orientation using orthonormal matrices. J. Opt. Soc. Am. A 5, 1127–1135 (1988)
Lasso, A., Heffter, T., Rankin, A., Pinter, C., Ungi, T., Fichtinger, G.: PLUS: open-source toolkit for ultrasound-guided intervention systems. IEEE Trans. Biomed. Eng. 61(10), 2527–2537 (2014)
Acknowledgement
This research was supported by the Polish National Centre for Research and Development (Narodowe Centrum Badan i Rozwoju) grant No. STRATEGMED2/ 267398/4/NCBR/2015. The authors would also like to thank Andre Woloshuk for his English language corrections.
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Juraszczyk, A., Spinczyk, D. (2019). Preliminary Study of Modeling Sagging Breasts for Support Navigation in Ultrasound Guided Biopsy. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2018. Advances in Intelligent Systems and Computing, vol 762. Springer, Cham. https://doi.org/10.1007/978-3-319-91211-0_15
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