Abstract
Motivation: In prostate brachytherapy, intra-operative dosimetry optimization can be achieved through reconstruction of the implanted seeds from multiple C-arm fluoroscopy images. This process requires tracking of the C-arm poses. Methodology: We compute the pose of the C-arm relative to a stationary radiographic fiducial of known geometry. The fiducial was precisely fabricated. We register the 2D fluoroscopy image of the fiducial to a projected digitally reconstructed radiograph of the fiducial. The novelty of this approach is using image intensity alone without prior segmentation of the fluoroscopy image. Experiments and Results: Ground truth pose was established for each C-arm image using a published and clinically tested segmentation-based method. Using 111 clinical C-arm images and ±10° and ±10 mm random perturbation around the ground-truth pose, the average rotation and translation errors were 0.62° (std=0.31°) and 0.73 mm (std= 0.55mm), respectively. Conclusion: Fully automated segmentation-free C-arm pose estimation was found to be clinically adequate on human patient data.
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References
Jemal, A., Siegel, R., Ward, E., et al.: Cancer Statistics. CA Cancer J. Clin. 59(4), 225–249 (2009)
Zelefsky, M.J., Kuban, D.A., Levy, L.B., et al.: Multi-institutional analysis of long-term outcome for stages T1-T2 prostate cancer treated with permanent seed implantation. Int. J. Radiat. Oncol. Biol. Phys. 67(2), 327–333 (2007)
Nag, S., Ciezki, J.P., Cormack, R., et al.: Intraoperative planning and evaluation of permanent prostate brachytherapy: report of the American Brachytherapy Society. Int. J. Radiat. Oncol. Biol. Phys. 51(5), 1422–1430 (2001)
Orio, P.F., Tutar, I.B., Narayanan, S., et al.: Intraoperative ultrasound-fluoroscopy fusion can enhance prostate brachytherapy quality. Int. J. Radiat. Oncol. Biol. Phys. 69(1), 302–327 (2007)
Westendorp, H., Hoekstra, C.J., van’t Riet, A., et al.: Intraoperative adaptive brachytherapy of iodine-125 prostate implants guided by C-arm cone-beam computed tomography-based dosimetry. Brachytherapy 6(4), 231–237 (2007)
Su, Y., Davis, B.J., Furutani, K.M., et al.: Seed localization and TRUS- fluoroscopy fusion for intraoperative prostate brachytherapy dosimetry. Computer Aided Surgery 12(1), 25–34 (2007)
Jain, A.K., Deguet, A., Iordachita, I., et al.: Intra-operative Guidance in Prostate Brachytherapy Using an Average Carm. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part II. LNCS, vol. 4792, pp. 9–16. Springer, Heidelberg (2007)
Yao, J., Taylor, R.H., Goldberg, R.P., et al.: A C-arm fluoroscopy-guided progressive cut refinement strategy using a surgical robot. Comput. Aided Surg. 5, 373–390 (2000)
Zhang, M., Zaider, M., Worman, M., Cohen, G.: On the question of 3d seed reconstruction in prostate brachytherapy: the determination of x-ray source and film locations. Phys. Med. Biol. 49, 335–345 (2004)
Yaniv, Z., Joskowicz, L.: Precise robot-assisted guide positioning for distal locking of intramedullary nails. IEEE Trans. Med. Imaging 24, 624–635 (2005)
Tang, T.S.Y., MacIntyre, N.J., Gill, H.S., et al.: Accurate assessment of patellar tracking using fiducial and intensity-based fluoroscopic techniques. Med. Image Anal. 8, 343–351 (2004)
Jain, A.K., Mustufa, T., Zhou, Y., et al.: FTRAC–a robust fluoroscope tracking fiducial. Medical physics 32(10), 3185–3198 (2005)
Jain, A., Fichtinger, G.: C-arm Tracking and Reconstruction without an External Tracker. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006, Part I. LNCS, vol. 4190, pp. 494–502. Springer, Heidelberg (2006)
Jain, A., Kon, R., Zhou, Y., et al.: C-arm calibration - is it really necessary? In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3749, pp. 639–646. Springer, Heidelberg (2005)
Gueziec, A., Wu, K., Kalvin, A., et al.: Providing visual information to validate 2-d to 3-d registration. Medical Image Analysis 4, 357–374 (2000)
Zuffi, S., Leardini, A., Catani, F., et al.: A model-based method for the reconstruction of total knee replacement kinematics. IEEE Trans. Med. Imag. 18(10), 981–991 (1999)
Yamazaki, T., Watanabe, T., Nakajima, Y., et al.: Improvement of depth position in 2d/3d registration of knee implants using single-plane fluoroscopy. IEEE Trans. on Medical Imaging 23(5), 602–612 (2004)
Nister, D.: An efficient solution to the five-point relative pose problem. IEEE Trans. on Pattern Analysis and Machine Intelligence 26(6), 756–770 (2004)
Fischler, M., Bolles, R.: Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Comm. Assoc. Comp. Mach. 24(6), 381–395 (1981)
Livyatan, H., Yaniv, Z., Joskowicz, L.: Gradient-based 2-D/3-D rigid registration of fluoroscopic X-ray to CT. IEEE Trans. Med. Imaging 22, 1395–1406 (2003)
Mahfouz, M., Hoff, W., Komistek, R., Dennis, D.: A robust method for registration of three-dimensional knee implant models to two-dimensional fluoroscopy images. IEEE Transactions on Medical Imaging 22, 1561–1574 (2003)
Lau, K., Chung, A.: A global optimization strategy for 3d-2d registration of vascular images. In: Proceedings of 17th British Machine Vision Conference, pp. 489–498 (2006)
Kovesi, P.: Functions for Computer Vision and Image Processing (2009), http://www.csse.uwa.edu.au/~pk/research/matlabfns/
Gilboa, G., Sochen, N., Zeevi, Y.: Regularized shock filters and complex diffusion. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2350, pp. 399–413. Springer, Heidelberg (2002)
Hansen, N.: The CMA Evolution Strategy: A Comparing Review. Studies in fuzziness and soft computing 192, 75–102 (2006)
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Fallavollita, P., Burdette, C., Song, D.Y., Abolmaesumi, P., Fichtinger, G. (2010). C-arm Tracking by Intensity-Based Registration of a Fiducial in Prostate Brachytherapy. In: Navab, N., Jannin, P. (eds) Information Processing in Computer-Assisted Interventions. IPCAI 2010. Lecture Notes in Computer Science, vol 6135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13711-2_5
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DOI: https://doi.org/10.1007/978-3-642-13711-2_5
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