Abstract
We introduce an Iterative Closest Point framework for ultrasound calibration based on a hollow-line phantom. The main novelty of our approach is the application of a hollow-tube fiducial made from hyperechoic material, which allows for highly accurate fiducial localization via both manual and automatic segmentation. By reducing fiducial localization error, this framework is able to achieve sub-millimeter target registration error. The calibration phantom introduced can be manufactured inexpensively and precisely. Using a Monte Carlo approach, our calibration framework achieved 0.5 mm mean target registration error, with a standard deviation of 0.24 mm, using 12 or more tracked ultrasound images. This suggests that our framework is approaching the accuracy limit imposed by the tracking device used.
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References
Ameri, G., McLeod, A.J., Baxter, J.S.H., Chen, E.C.S., Peters, T.M.: Line fiducial material and thickness considerations for ultrasound calibration. In: Proceedings of SPIE, vol. 9415, pp. 941529–941529-9 (2015)
Bennani Dosse, M., Ten Berge, J.: Anisotropic orthogonal procrustes analysis. J. Classif. 27, 111–128 (2010)
Besl, P., McKay, N.D.: A method for registration of 3-d shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14(2), 239–256 (1992)
Chen, E.C., McLeod, A.J., Baxter, J.S., Peters, T.M.: Registration of 3D shapes under anisotropic scaling. Int. J. Comput. Assist. Radiol. Surg. 10(6), 867–878 (2015)
Chen, T.K., Thurston, A.D., Ellis, R.E., Abolmaesumi, P.: A real-time freehand ultrasound calibration system with automatic accuracy feedback and control. Ultrasound Med. Biol. 35(1), 79–93 (2009)
Cheng, A., Ackerman, M.K., Chirikjian, G.S., Boctor, E.M.: Design and development of an ultrasound calibration phantom and system. In: Proceedings of SPIE, vol. 9036, pp. 903624–903624-8 (2014)
Cheung, C.L., Wedlake, C., Moore, J., Pautler, S.E., Peters, T.M.: Fused video and ultrasound images for minimally invasive partial nephrectomy: a phantom study. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010, Part III. LNCS, vol. 6363, pp. 408–415. Springer, Heidelberg (2010)
Comeau, R.M., Fenster, A., Peters, T.M.: Integrated MR and ultrasound imaging for improved image guidance in neurosurgery. In: Proceedings of SPIE, vol. 3338, pp. 747–754 (1998)
Gobbi, D.G., Comeau, R.M., Peters, T.M.: Ultrasound probe tracking for real-time ultrasound/mri overlay and visualization of brain shift. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 920–927. Springer, Heidelberg (1999)
Horn, B.K.: Closed-form solution of absolute orientation using unit quaternions. J. Opt. Soci. Am. A 4(4), 629–642 (1987)
Karmakar, M.K., Li, X., Ho, A.M.H., Kwok, W.H., Chui, P.T.: Real-time ultrasound-guided paramedian epidural access: evaluation of a novel in-plane technique. Br. J. Anaesth. 102(6), 845–854 (2009)
Khamene, A., Sauer, F.: A novel phantom-less spatial and temporal ultrasound calibration method. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3750, pp. 65–72. Springer, Heidelberg (2005)
Mercier, L., Langø, T., Lindseth, F., Collins, L.D.: A review of calibration techniques for freehand 3-D ultrasound systems. Ultrasound Med. Biol. 31(2), 143–165 (2005)
Moore, J., Chu, M., Kiaii, B., Bainbridge, D., Guiraudon, G., Wedlake, C., Currie, M., Rajchl, M., Patel, R., Peters, T.: A navigation platform for guidance of beating heart transapical mitral valve repair. IEEE Trans. Biomed. Eng. 60(4), 1034–1040 (2013)
Muratore, D.M., Galloway Jr., R.L.: Beam calibration without a phantom for creating a 3-D freehand ultrasound system. Ultrasound Med. Biol. 27(11), 1557–1566 (2001)
Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62–66 (1979)
Prager, R., Rohling, R., Gee, A., Berman, L.: Rapid calibration for 3-D freehand ultrasound. Ultrasound Med. Biol. 24(6), 855–869 (1998)
Welch, J., Bax, M., Mori, K., Krummel, T., Shahidi, R., Maurer, C.: A fast and accurate method of ultrasound probe calibration for image-guided surgery. In: Proceedings of Computer Assisted Radiology and Surgery, p. 1078 (2002)
West, J.B., Maurer, C.R.J.: Designing optically tracked instruments for image-guided surgery. IEEE Trans. Med. Imaging 23(5), 533–545 (2004)
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Chen, E.C.S., McLeod, A.J., Baxter, J.S.H., Peters, T.M. (2015). An Iterative Closest Point Framework for Ultrasound Calibration. In: Linte, C., Yaniv, Z., Fallavollita, P. (eds) Augmented Environments for Computer-Assisted Interventions. AE-CAI 2015. Lecture Notes in Computer Science(), vol 9365. Springer, Cham. https://doi.org/10.1007/978-3-319-24601-7_8
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