Coherent Scene Generation for Surgical Simulators

Sierra, Raimundo; Bajka, Michael; Karadoğan, Celalettin; Székely, Gábor; Harders, Matthias

doi:10.1007/978-3-540-25968-8_25

Cited by 3 publications

(5 citation statements)

References 11 publications

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“…In this context, the ability to present variable scenes is a crucial component to simulate the day-to-day demand on a surgeon. The training scenario definition will not be covered in this paper; further details can be found in Sierra, Bajka, Karadogan, Szekely, & Harders (2004). Finally, the real-time simulation is composed of elements of the last two categories.…”

Section: System Overviewmentioning

confidence: 99%

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Virtual Reality Based Simulation of Hysteroscopic Interventions

Harders

Bachofen²,

Grassi

et al. 2008

Presence: Teleoperators and Virtual Environments

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Virtual reality based simulation is an appealing option to supplement traditional clinical education. However, the formal integration of training simulators into the medical curriculum is still lacking. Especially, the lack of a reasonable level of realism supposedly hinders the widespread use of this technology. Therefore, we try to tackle this situation with a reference surgical simulator of the highest possible fidelity for procedural training. This overview describes all elements that have been combined into our training system as well as first results of simulator validation. Our framework allows the rehearsal of several aspects of hysteroscopy-for instance, correct fluid management, handling of excessive bleeding, appropriate removal of intrauterine tumors, or the use of the surgical instrument.

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Section: System Overviewmentioning

confidence: 99%

“…Mesh geometries as well as object textures are generated with our scenario definition framework (Sierra et al, 2004) based on real patient data. New textures are synthesized and automatically mapped onto the object geometries.…”

Section: Scene Visualizationmentioning

confidence: 99%

Virtual Reality Based Simulation of Hysteroscopic Interventions

Harders

Bachofen²,

Grassi

et al. 2008

Presence: Teleoperators and Virtual Environments

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“…While in the former stage the mesh is required for calculating the deformations, the tetrahedral representation is needed for collision detection and haptic feedback in the latter step. The specific mesh generation approach employed is presented in [12]. In the second step, the offline computation enables the use of more advanced, and thus more accurate, tissue modeling techniques.…”

Section: Real-time Deformation Of the Uterine Cavitymentioning

confidence: 99%

“…As both the hydrometra and the pathologies may frequently change during simulation, the labeling of the voxels has to be updated accordingly. Therefore all voxels are re-labeled whenever the surfaces are modified in real-time [12]. For the inflow, constant velocity is set at the voxels corresponding to the tip of the tool.…”

Section: Handling Of Distension Fluidmentioning

confidence: 99%

Hydrometra Simulation for VR-Based Hysteroscopy Training

Sierra

Zátonyi

Bajka

et al. 2005

Lecture Notes in Computer Science

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Abstract. During hysteroscopy a hydrometra is maintained, i.e. the uterus is distended with liquid media to access and visualize the uterine cavity. The pressure and flow induced by the liquid are crucial tools for the gynecologists during surgery to obtain a clear view of the operation site. This paper presents two different aspects of hydrometra simulation, namely the distension of the uterine muscle and the liquid flow simulation in the cavity. The deformation of the organ's shape is computed offline based on finite element calculations whereas the flow is approximated on the fly by solving the simplified Navier-Stokes equations. The real-time capabilities of the presented algorithms as well as the level of fidelity achieved by the proposed methods are discussed.

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“…Unfortunately, merging this method with our training scene generation framework [7] posed some problems. The underlying idea of the latter is to prevent the trainee from repeatedly being confronted with the same surgical scene and thus to avoid becoming acquainted with a specific anatomy.…”

Section: Introductionmentioning

confidence: 99%

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

Harders

Székely

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007

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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.

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Coherent Scene Generation for Surgical Simulators

Cited by 3 publications

References 11 publications

Virtual Reality Based Simulation of Hysteroscopic Interventions

Virtual Reality Based Simulation of Hysteroscopic Interventions

Hydrometra Simulation for VR-Based Hysteroscopy Training

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

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