Using Statistical Shape Analysis for the Determination of Uterine Deformation States During Hydrometra

Abstract

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.

A Survey on Statistical Modeling and Machine Learning Approaches to Computer Assisted Medical Intervention: Intraoperative Anatomy Modeling and Optimization of Interventional Procedures

“…The real-time estimation is achieved by the linear combination of the uterine deformation precomputed offline by FEM. Further, Harders et al [85] extended their method to treat various uterine shapes.…”

Statistical model based shape prediction from a combination of direct observations and various surrogates: Application to orthopaedic research

“…In (Yang et al, 2008) a PLS based regression was also used to predict the humerus bone from surface points of the scapula. Extensions to non-linear constraints have been proposed for scene generation in the context of surgical simulators (Sierra et al, 2006;Harders and Székely, 2007;Basdogan et al, 2007). Though in these papers, the constraints are based on non-linear functions of point positions, these still refer to explicit shape landmarks.…”