Active shape models—their training and application
Computer Vision and Image Understanding
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
VR-Based Simulators for Training in Minimally Invasive Surgery
IEEE Computer Graphics and Applications
A finite element model for the simulation of hydrometra
Technology and Health Care
Hydrometra simulation for VR-based hysteroscopy training
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Journal of Mathematical Imaging and Vision
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A fundamental prerequisite of hysteroscopy is the proper distension of the uterine cavity with a fluid, also known as hydrometra. For a virtual reality based simulation of hysteroscopy, the uterus deformation process due to different pressure settings has to be modeled. In previous work we have introduced a hybrid method, which relies on precomputed deformation states to derive the hydrometra changes during runtime. However, new offline computations were necessary for every newly introduced organ mesh. This is not viable if a new surgical scene is to be generated for every training session. Therefore, we include the deformation states during hydrometra into our previously developed statistical shape model for undeformed organ instances. This allows deriving the hydrometra steps together with new undeformed uterus meshes. These can then be used during the interactive simulation for predicting uterus deformation without time-intensive precomputation steps.