PreOp endoscopic simulator: a PC-based immersive training system for bronchoscopy.

The high cost of simulators that offer adequate realism for training has been a major challenge for the simulation community. The cost of the computers alone has been too high for most training institutions to afford. We have met this challenge by developing the PreOp Endoscopic Simulator, our second generation of low-cost medical simulators. The PreOp system integrates multimedia, 3D graphics simulation, and force feedback technology on a PC. This paper discusses the challenges of this project and the trade-offs and solutions that we developed to overcome them. We discuss our process of analyzing and prioritizing the medical tasks necessary to correctly perform flexible bronchoscopy. In addition, we illustrate how we blended together simulation and multimedia technology to ensure adequate immersion and training efficacy, while keeping the system cost to a minimum.

VR simulation of abdominal trauma surgery.

In this paper we describe a test-bed we have developed for simulation of abdominal trauma surgery. The abdominal surgery scene is highly complex and contains many layers of deformable organs. Representing this layered and deformable anatomy with models that can interact, be probed and cut presents a unique challenge. We have met this challenge by applying a variety of technology advances in deformable models, computer graphics, and force-feedback (haptic) interfaces.

Automated image analysis applied to the odontoblast-predentine region in undemineralized sections of human permanent third molars.

A computerized histomorphometric analysis was made by Karnovsky-fixed, hydroxethylmethacrylate embedded and toluidine blue/pyronin-stained sections to determine: (1) the two-dimensional size of the coronal odontoblasts given by their cytoplasm:nucleus ratio; (2) the ratio between the number of coronal odontoblasts and dentinal tubules; and (3) the relation between odontoblast size and adjacent predentine. All conditions were measured in relation to three well-defined sectioning profiles of the dentinal tubules. The sections were randomly taken from 10 unerupted and erupted third-molar crowns. Sixty-three photomicrographs (x100), equally distributed among the three sectioning profiles, were scanned in a high-resolution scanner to produce images for the analysis. After initial user interaction for the description of training classes on one image, an automatic segmentation of the images with respect to odontoblast cell nuclei, cytoplasm and background was computed by statistical discriminant analysis. In longitudinal profiles of the dentinal tubules the cytoplasm:nucleus ratio in erupted teeth was 3.1 +/- 0.54, and the mean of the odontoblast cell:dentinal tubule ration was 1.19 +/- 0.20. Analysis of cytoplasm:nucleus ratio and the adjacent predentine in relation to the chosen sectioning profiles disclosed that there was less variation in the predentine measurements in the longitudinal sections. Thus, in future two-dimensional studies of the odontoblast-predentine region only longitudinal sectioning profiles should be analysed. The use of advanced image processing on undemineralized tooth sections provides a rational foundation for further work on the reactions of the odontoblasts to external injuries including dental caries.

Fast finite elements for surgery simulation.

This paper discusses volumetric deformable models for modeling human body parts and organs in surgery simulation systems. These models are built using finite element models of linear elastic materials. To achieve real-time response condensation has been applied to the system stiffness matrix, and selective matrix vector multiplication has been used to minimize the computational cost.

Geometric and physical representations for a simulator of hepatic surgery.

Despite the large interest in simulators of minimally invasive surgery, it is still unclear to what extent simulators can achieve the task of training medical students in surgical procedures. The answer to that question is certainly linked to the realism of displays and force-feedback systems and to the level of interaction provided by the computer system. In this paper, we describe the virtual environment for anatomical and surgical training on the liver, currently under construction at INRIA. We specifically address the problems of geometric representation and physical modeling and their impact on the two aforementioned problems: realism and real-time interaction.