Plastic hexahedral FEM for surgical simulation

Gao, Ruiliang; Peters, Jörg

doi:10.1007/s11548-022-02742-9

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…Ultimately, we aim to collect large data set for analysis, for example, to glean error patterns and remove confounding factors in the interpretation of simulator results. The Qualtrics site 37 allows readers to contribute, anonymous or with attribution, specific surgical errors to test for, or errors that are not covered by the general classes (i) to (vi).…”

Section: Discussionmentioning

confidence: 99%

Adding Safety Rules to Surgeon-Authored Virtual Reality Training

et al. 2023

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Introduction:The Toolkit for Illustration of Procedures in Surgery (TIPS) is an open source virtual reality (VR) laparoscopic simulation-based training environment with force feedback. The TIPS-author is a content creation interface that allows a surgeon educator (SE) to assemble new laparoscopic training modules. New technology enables safety rules to be specified by the SE, automatically tracks specified safety errors, and summarizes and communicates achievements and errors to the surgical trainee. Methods: The TIPS-author combines and initializes building blocks of anatomy with their physical properties, as selected by the SE from a database. The SE can add any safety rule that can be tested in terms of location, proximity, separation, clip count, and force. Errors are then automatically monitored during simulation and recorded as visual snapshots for feedback to the trainee. The TIPS was field tested at 2 surgical conferences, one before and one after adding the error snapshot feature. Results: Sixty-four respondents at 2 surgical conferences assessed the utility of TIPS on a Likert scale. While other ratings remained unchanged for an overall score of 5.24 of 7 (7 = very useful), the rating of the statement "The TIPS interface helps learners understand the force necessary to explore the anatomy" improved from 5.04 to 5.35 of 7 after the snapshot mechanism was added. Conclusions:The ratings indicate the viability of the TIPS open source SE-authored surgical training units with safety rules. Presenting SE-determined procedural missteps via the snapshot mechanism at the end of the training increases perceived utility.

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Section: Discussionmentioning

confidence: 99%

Adding Safety Rules to Surgeon-Authored Virtual Reality Training

et al. 2023

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“…Related studies have proposed a dynamic local re-meshing method based on tetrahedral elements 3 and explored deformation calculation by refinement of hexahedral elements using the finite element method. 4 Miyazaki et al proposed a method 5 to generate an octree cube structure from a high-resolution polygon model and deform it in real-time based on the Position Based Dynamics (PBD) method, 6 which is proposed by Müller et al. This octree cube model is a hybrid of a cube structure for deformation calculations and a high-resolution organ model for rendering.…”

Section: Introductionmentioning

confidence: 99%

Adaptive octree cube refinement depending on grasping position for deformable organ models

Miyazaki,

Hayashi,

Oda

et al. 2024

Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling

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This paper describes an adaptive octree cube refinement method for deformable organ models. Surgical simulation is one of the most promising ways for surgical training. Various types of surgical simulators have been researched and developed. Laparoscopic surgery simulators are already in practical use. They have been evaluated for their effectiveness in learning surgical techniques. To realize a high-quality simulator, it is important to efficiently process organ deformation models according to the content of the surgical simulation so that both high-resolution and real-time processing. In this study, we extend adaptive mesh refinement, which increases mesh resolution in the manipulation region, and apply it to an octree cube structure. The refinement process of the octree cube structure is performed based on the distance from the grasping position of the gallbladder model. This approach improves the resolution of the octree in the area near the grasping position where relatively large deformations occur. In addition, it makes it easier to detect interference between the grasp model and the high-resolution grid of the octree. Simulation results showed that there were 199 cubes before and 339 cubes after refinement, and the FPS decreased from 44.1 FPS to 32.4 FPS on a standard CPU and GPU PC, which is still within real-time processing.

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