Abstract
During prostate brachytherapy, C-arm flouroscopy images are used for a qualitative assessment of the procedure. Three dimensional reconstruction of the implanted seeds can be used for intraoperative dosimetry and quantitative assessment. Accurate C-arm pose estimation is necessary for 3D localization of the seeds. We propose to measure the C-arm rotation angles and computationally compensate the inevitable C-arm translational motion to estimate the pose. We compensate the oscillation, sagging and wheel motion of the C-arm using a three-level optimization algorithm, without which the reconstruction can fail. We validated our approach on simulated and 10 data sets from 5 patients and gained on average 99.1% success rate, 0.33 mm projection error and computation time of less than one minute per patient, which are clinically excellent results.
This work was supported by an Ontario Ministry of Research and Innovation postdoctoral fellowship and NIH R21CA120232-01. The authors are grateful to Dr. W. J. Morris from British Columbia Cancer Agency for providing the clinical data.
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References
Tubic, D., Zaccarin, A., Beaulieu, L., Pouliot, J.: Automated seed detection and three-dimensional reconstruction. II. Reconstruction of permanent prostate implants using simulated annealing. Medical Physics 28(11), 2272–2279 (2001)
Jain, A.K., Zhou, Y., Mustufa, T., Burdette, E.C., Chirikjian, G.S., Fichtinger, G.: Matching and reconstruction of brachytherapy seeds using the Hungarian algorithm (MARSHAL). Medical Physics 32, 3475–3492 (2005)
Lee, J., Labat, C., Jain, A.K., Song, D.Y., Burdette, E.C., Fichtinger, G., Prince, J.L.: Optimal matching for prostate brachytherapy seed localization with dimension reduction. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5761, pp. 59–66. Springer, Heidelberg (2009)
Navab, N., Bani-Hashemi, A., Mitschke, M., Holdsworth, D.W., Fahrig, R., Fox, A.J., Graumann, R.: Dynamic geometrical calibration for 3-D cerebral angiography. In: SPIE Medical Imaging, vol. 2708, pp. 361–370 (1996)
Brack, C., Gotte, H., Gosse, F., Moctezuma, J., Roth, M., Schweikard, A.: Towards accurate X-ray camera calibration in computer-assisted robotic surgery. In: Proc. Int. symp. Computer Assisted Radiology, pp. 721–728 (1996)
Jain, A.K., Mustafa, T., Zhou, Y., Burdette, C., Chirikjian, G.S., Fichtinger, G.: FTRAC – A robust fluoroscope tracking fiducial. Medical Physics 32(10), 3185–3198 (2005)
Peters, T., Cleary, K. (eds.): Image-Guided Interventions: Technology and Applications. Springer, Heidelberg (2008)
Jain, A., Fichtinger, G.: C-arm tracking and reconstruction without an external tracker. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4190, pp. 494–502. Springer, Heidelberg (2006)
Lam, S.T., Marks II, R.J., Cho, P.S.: Prostate brachytherapy seed segmentation using spoke transform. In: Proc. SPIE., vol. 4322, pp. 1490–1500 (2001)
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Dehghan, E., Lee, J., Moradi, M., Wen, X., Fichtinger, G., Salcudean, S.E. (2010). Prostate Brachytherapy Seed Reconstruction Using C-Arm Rotation Measurement and Motion Compensation . In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010. MICCAI 2010. Lecture Notes in Computer Science, vol 6361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15705-9_35
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