Abstract
Virtual liver tumor resection surgery is widely used for training physicians in surgical skills. Establishing a realistic liver deformation model is an important prerequisite for virtual surgery. In this study, we propose a position-based dynamics model using ellipsoidal particles for liver deformation simulation to overcome the low computational efficiency of traditional voxel-sampled position-based dynamics model. Specifically, we segmented the liver and reconstructed its 3D model from medical computed tomography images. Next, we generated ellipsoidal particles at the grid vertices based on center distance constraints. Finally, liver deformation was simulated by solving the shape matching constraints between the particles. The results of simulation experiments showed that our proposed method achieved similar deformation authenticity and reduced computational time compared to the traditionally used voxel-filled particles model. The frame rate of our proposed method achieved 201 frames per second, which satisfies the basic frame rate requirements for real-time display.
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
Descottes, B., Glineur, D., Lachachi, F., et al.: Laparoscopic liver resection of benign liver tumors. J. Surg. Endosc. 17, 23–30 (2003)
Horvat, N., et al.: A finite element implementation of a growth and remodeling model for soft biological tissues: Verification and application to abdominal aortic aneurysms. Comput. Methods Appl. Mech. Eng. 352, 586–605 (2019)
Joldes, G., Bourantas, G., Zwick, B., et al.: Suite of meshless algorithms for accurate computation of soft tissue deformation for surgical simulation. J. Med. Image Anal. 56, 152–171 (2019)
Hammer, P.E., et al.: Mass-Spring Model for Simulation of Heart Valve Tissue Mechanical Behavior. Ann. Biomed. Eng. 39, 1668–1679 (2011)
Mollemans, W., Schutyser, F., Van Cleynenbreugel, J., Suetens, P.: Fast soft tissue deformation with tetrahedral mass spring model for maxillofacial surgery planning systems. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3217, pp. 371–379. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-30136-3_46
Liu, X., et al.: Deformation of soft tissue and force feedback using the smoothed particle hydrodynamics. J. Comput. Math. Methods Med (2015)
Müller, M., Heidelberger, B., Hennix, M., et al.: Position based dynamics. J. Vis. Commun. Image Represent. 18, 109–118 (2007)
Liu, Y., Guan, C., Li, J., et al.: The PBD model based simulation for soft tissue deformation in virtual surgery. J. Phys. Conf. Ser. 1621, 012043 (2020)
Maciel, A., Halic, T., Lu, Z., et al.: Using the PhysX engine for physics-based virtual surgery with force feedback. Int. J. Med. Robot. 5, 341–353 (2019)
Tian, H., et al.: iMSTK-based microwave ablation training system for liver tumors. In: 2022 2nd International Conference on Bioinformatics and Intelligent Computing, in BIC 2022. New York, NY, USA: Association for Computing Machinery, pp. 145–150 (2022)
Pan, J., Bai, J., Zhao, X., et al.: Real-time haptic manipulation and cutting of hybrid soft tissue models by extended position-based dynamics. J. Comput. Animat. Virtual Worlds. 26, 321–335 (2015)
Camara, M., Mayer, E., Darzi, A., et al.: Soft tissue deformation for surgical simulation: a position-based dynamics approach. Int. J. Comput. Assist. Radiol. Surg. 11, 919–928 (2016)
Adams, R., Bischof, L.: Seeded region growing. IEEE Trans. Pattern Anal. Mach. Intell. 16(6), 641–647 (1994)
Lorensen, W.E., Cline, H.E.: Marching cubes: a high resolution 3D surface construction algorithm. J. ACM SIGGRAPH Comput. Graph. 21, 163–169 (1987)
Garland, M., Heckbert, P.S.: Surface simplification using quadric error metrics. In: Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques - SIGGRAPH, pp. 209–216 (1997)
.Koren, Y., Carmel, L.: Visualization of labeled data using linear transformations. In IEEE Symposium on Information Visualization 2003 (IEEE Cat. No.03TH8714), pp. 121–128 (2003)
Müller, M., et al.: Meshless deformations based on shape matching. J. ACM Trans. Graph. 24, 471–478 (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Long, X., Wang, Y., Yang, J. (2023). A Position-Based Dynamics Simulation of Liver Deformation with Ellipsoidal Particles. In: Yongtian, W., Lifang, W. (eds) Image and Graphics Technologies and Applications. IGTA 2023. Communications in Computer and Information Science, vol 1910. Springer, Singapore. https://doi.org/10.1007/978-981-99-7549-5_19
Download citation
DOI: https://doi.org/10.1007/978-981-99-7549-5_19
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-7548-8
Online ISBN: 978-981-99-7549-5
eBook Packages: Computer ScienceComputer Science (R0)