Abstract
Precise positioning of an ablation probe in soft abdominal organs requires taking the respiration effects into account. Fast and reliable registration of a virtual abdominal organ with intra-operational imaging data remains a challenge in image-guided and Virtual Reality (VR) aided surgeries. In this paper we present a Host Mesh Fitting (HMF) algorithm to imitate the deformation of a torso due to aspiration effects. Displacements of the torso mesh are driven by virtual fiducial markers placed on the abdominal surface, which consequently deform abdominal organs in an implicit manner and with a small computational cost. In order to test the HMF algorithm a gelatine phantom was made with its internal channels detectable from ultrasonic imaging. Deformation of the channels due to a compression force was reproduced from the warping of the host mesh. After coupling with a fiducial marker tracking system the HMF algorithm can be used to model the torso deformation due to respiration effects.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Clifford, M.A., Banovac, F., Levy, E., Cleary, K.: Assessment of hepatic motion secondary to respiration for computer assisted interventions. Comput. Aided Surg. 7, 291–299 (2002)
Schreibmann, E., Chen, G.T.Y., Xing, L.: Image interpolation in 4D CT using a BSpline deformable registration model. Int. J. Radiat. Oncol. Biol. Phys. 64, 1537–1550 (2006)
Brandner, E.D., Wu, A., Chen, H., Heron, D., Kalnicki, S., Komanduri, K., Gerszten, K., Burton, S., Ahmed, I., Shou, Z.: Abdominal organ motion measured using 4D CT. Int. J. Radiat. Oncol. Biol. Phys. 65, 554–560 (2006)
Atoui, H., Miguet, S., Sarrut, D.: A fast morphing-based interpolation for medical images: application to conformal radiotherapy. Image Anal. Stere. 25, 95–103 (2011)
Fernandez, J.W., Mithraratne, P., Thrupp, S.F., Tawhai, M.H., Hunter, P.J.: Anatomically based geometric modelling of the musculo-skeletal system and other organs. Biomech. Model. Mechanobiol. 2, 139–155 (2004)
Ho, H., Bartlett, A., Hunter, P.: Geometric modelling of patient-specific hepatic structures using cubic hermite elements. In: Yoshida, H., Sakas, G., Linguraru, M.G. (eds.) ABD-MICCAI 2011. LNCS, vol. 7029, pp. 264–271. Springer, Heidelberg (2012). doi:10.1007/978-3-642-28557-8_33
Haelterman, R., Degroote, J., Van Heule, D., Vierendeels, J.: The quasi-newton least squares method: a new and fast secant method analyzed for linear systems. SIAM J. Numer. Anal. 47, 2347–2368 (2009)
Kolr, P., Neuwirth, J., Sanda, J., Suchnek, V., Svat, Z., Volejnk, J., Pivec, M.: Analysis of diaphragm movement during tidal breathing and during its activation while breath holding using MRI synchronized with spirometry. Physiol. Res. 58, 383–392 (2009)
Farrer, A.I., Oden, H., de Bever, J., Coats, B., Parker, D.L., Payne, A., Christensen, D.A.: Characterization and evaluation of tissue-mimicking gelatin phantoms for use with MRgFUS. J. Ther. Ultrasound 3 (2015). doi:10.1186/s40349-015-0030-y
Bro-Nielsen, M.: Finite element modeling in surgery simulation. Proc. IEEE 86, 490–503 (1998)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Yu, H., Ho, H., Bartlett, A., Hunter, P. (2017). Modelling Respiration Induced Torso Deformation Using a Mesh Fitting Algorithm. In: Chen, CS., Lu, J., Ma, KK. (eds) Computer Vision – ACCV 2016 Workshops. ACCV 2016. Lecture Notes in Computer Science(), vol 10117. Springer, Cham. https://doi.org/10.1007/978-3-319-54427-4_45
Download citation
DOI: https://doi.org/10.1007/978-3-319-54427-4_45
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-54426-7
Online ISBN: 978-3-319-54427-4
eBook Packages: Computer ScienceComputer Science (R0)