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Realistic mechanical models of biological soft tissues are a key issue to allow the implementation of reliable systems to aid on orthopedic diagnosis and surgery planning. We are working to develop a computerized soft tissues model for bio-tissues based on a mass-spring-like approach. In this work we present several experiments towards the parameterization(More)
Realistic mechanical models of biological soft-tissues are a key issue to allow the implementation of reliable systems to aid on orthopedic diagnosis and surgery planning. We are working on a model of articulations based on deformation of connective tissues. In the present work we present several experiments towards the parameterization of a computer(More)
In this paper, we present our spreadsheet framework, which uses a spreadsheet-like interface for exploring biomedical datasets. The principles and advantages of this class of visualization systems are illustrated, and a case study for the analysis of hip joint congruity is presented. Throughout this use case, we see how end users can compare different(More)
Surgical skill training is a long and tedious process of acquiring fine motor skills. To overcome the drawbacks of the existing toolbox trainer systems, we develop, for the first time, a virtual basic laparoscopic skill trainer (VBLaST) whereby tasks, such as the ones available in the FLS toolbox system, may be performed on the computer.
Anatomic hepatectomies are resections in which compromised segments or sectors of the liver are extracted according to the topological structure of its vascular elements. Such structure varies considerably among patients, which makes the current anatomy-based planning methods often inaccurate. In this work we propose a strategy to efficiently and(More)
Handling the evolving permanent contact of deformable objects leads to a collision detection problem of high computing cost. Situations in which this type of contact happens are becoming more and more present with the increasing complexity of virtual human models, especially for the emerging medical applications. In this context, we propose a novel(More)
Hepatectomies are resections in which segments of the liver are extracted. While medical images are fundamental in the surgery planning procedure, the process of analysis of such images slice-by-slice is still tedious and inefficient. In this work we propose a strategy to efficiently and semi-automatically segment and classify patient-specific liver models(More)
This paper addresses evaluation and visualization of stress and strain on soft biological tissues in contact. Given three-dimensional models of reconstructed organs from magnetic resonance images (MRI), we use an Anatomy-based kinematical model combined with a soft tissues model to represent their shape and behavior. Then, we compute resulting distribution(More)