TY - GEN
T1 - A Position-Based Dynamics Simulation of Liver Deformation with Ellipsoidal Particles
AU - Long, Xuanlin
AU - Wang, Yuanyuan
AU - Yang, Jian
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Deformation simulation
KW - Ellipsoid particle
KW - Position-based dynamics model
UR - http://www.scopus.com/inward/record.url?scp=85175944202&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-7549-5_19
DO - 10.1007/978-981-99-7549-5_19
M3 - Conference contribution
AN - SCOPUS:85175944202
SN - 9789819975488
T3 - Communications in Computer and Information Science
SP - 254
EP - 267
BT - Image and Graphics Technologies and Applications - 18th Chinese Conference, IGTA 2023, Revised Selected Papers
A2 - Yongtian, Wang
A2 - Lifang, Wu
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th Chinese Conference on Image and Graphics Technology and Application Conference, IGTA 2023
Y2 - 17 August 2023 through 19 August 2023
ER -