Getting poster data...
Heiko Stark, Rosemarie Fröber, Nadja Schilling (Institut für Spezielle Zoologie und Evolutionsbiologie, Friedrich-Schiller-Universität Jena, Deutschland; Institut für Anatomie I, Friedrich-Schiller-Universität Jena, Deutschland)Various training concepts in preventive and rehabilitative medicine take muscle properties or the topography of the muscles into account to achieve an optimal training outcome. Thus far, the internal architecture of muscles has largely been ignored, although it is well known that several parameters have a major impact on the contraction behaviour of a muscle. With this 3D reconstruction, we aim at increasing our knowledge and understanding of intramuscular architecture of the human back musculature in order to allow for the incorporation of these properties in future training concepts and biomechanical modelling. Our general approach was to digitize the geometry of each fascicle of the perivertebral musculature during layer wise dissection. Prior to the dissection and 3D reconstruction, the complete torso was CT-scanned and the skeleton and cartilage was reconstructed from the image stack. To reconstruct the fascicles, 3D coordinates of several data points along each fascicle were measured using the 3D-digitizer ‘Microscribe’ during the dissection. To visualize the skeleton and the muscles, the open source program ’Pov-Ray’ was used.