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PL
W niniejszym opracowaniu przedstawiono wyniki symulacji biomechanicznych, uzyskanych za pomocą programu V-SIM i PC-Crash. W opracowanych przykładach przyjęto jednakowe główne parametry symulacji oraz wykorzystano uniwersalne i rzeczywiste sylwetki nadwozi pojazdów. Porównania dokonano na podstawie przykładów o różnym stopniu złożoności.
EN
The article presents preliminary results of biomechanical simulations carried out using V-SIM and PC-Crash software packages. In both environments similar simulation parameters were adopted. Both universal and real vehicle body shapes were used. The comparison between the two software packages was done based on examples of different levels of complexity.
EN
This paper reports on our experiences using datasets from the Visible Human Project in different biomedical applications. Introduced 1994 by the US National Library of Medicine the digitized multimodal anatomical datasets of the Visible Man have challenged the worldwide scientific community. A significant response to this challenge from several interdisciplinary research teams has emerged as a new area of research. This area requires close interaction and collaboration among anatomists, radiologists, computer scientists, mathematicians, engineers and physicians. The digitized volumetric images of the human body have been applied not only for the computer-aided exploration of the human gross anatomy, but also as structural input for the therapy planning and simulation systems. The importance of such virtual patient model is becoming increasingly recognized in modern medicine. To effectively use these specific datasets a sophisticated framework consisting of image processing, computer graphics and mathematical modelling methods is required. In this work various aspects of the developed framework are presented and discussed. Some preliminary results of our biomedical simulations are presented.
3
Content available Clinical applications of biomechanical simulation
EN
The planning of therapeutical interventions and the understanding of pathological processes may be improved by providing tools for biomechanical simulation. This article focuses on computational services providing numerical simulations for analysis, prediction and virtual prototyping to the medical sector ("bio-numerics"). Two example problems are discussed: (1) The simulation of distraction osteogenesis using Finite Element Models (FEM): Simulations use highly resolved meshes in order to represent the complex midface structures with sufficient detail. Meshes with 1 mm resolutions typically have 1+ million nodes, so forward models must be computed on high performance computing (HPC) platforms. Pre-operative planning involves "playing" with different what-if scenarios so fast response times are highly desirable in order to provide tools that are accepted in a clinical environment. (2) Intra-operative planning in neurosurgery using inverse biomechanical models: Surgically induced deformations invalidate pre-operatively acquired information about functionally relevant areas. This problem is addressed by non-linear registration of pre-operative functional Magnetic Resonance Imaging (MRI) data to intra-operative MRI data.
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