Deformable Models for Surgical Simulation: A Survey
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Abstract (arXiv)
This paper presents a survey of the state-of-the-art deformable models studied in the literature concerning soft tissue deformable modeling for interactive surgical simulation. It first introduces the challenges of surgical simulation, followed by discussions and analyses on the deformable models, which are classified into three categories: the heuristic modeling methodology, continuum-mechanical methodology, and other methodologies. It also examines linear and nonlinear deformable modeling, model internal forces, and numerical time integrations, together with modeling of soft tissue anisotropy, viscoelasticity, and compressibility. Finally, various issues in the existing deformable models are discussed to outline the remaining challenges of deformable models in surgical simulation.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Sep 2019.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 1; 2025: 0; 2026: 3.
6 papers.
- 2021PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgerycited by 22
- 2024Boundary Constraint-free Biomechanical Model-Based Surface Matching for Intraoperative Liver Deformation Correctioncited by 12
- 2022Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Training Datasetcited by 7
- 2026SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generationcited by 7
- 2026Autoregressive deep learning for real-time simulation of soft tissue dynamics during virtual neurosurgerycited by 0
- 2026NVIDIA Cosmos-H-Dreams: Real-Time Generative Physics Simulation for Surgical Roboticscited by 0
- 2026NVIDIA Cosmos-H-Dreams: Real-Time Generative Physics Simulation for Surgical Robotics25 Aug 2026
- 2026SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation13 Mar 2026
- 2026Autoregressive deep learning for real-time simulation of soft tissue dynamics during virtual neurosurgery20 Jan 2026
- 2024Boundary Constraint-free Biomechanical Model-Based Surface Matching for Intraoperative Liver Deformation Correction15 Mar 2024
- 2022Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Training Dataset8 Mar 2022
- 2021PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery9 Sep 2021