Estimate of Segmental Biomechanical Parameters Using 3D Range Data

• Main Authors: Yi-Nan Lai, 賴逸楠
• Other Authors: Chi-Yung Yu
• Format: Others
• Language: en_US
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/15992877157826170863

碩士 === 國立清華大學 === 工業工程與工程管理學系 === 94 === The purpose of this study is to map 3D tomographical data obtained from MRI onto 3D human surface data for the computation of biomechanical parameters. These biomechanical parameters include mass, center of mass, averaged density, moment of inertia and radius of gyration. The 3D human surface data is the 3D Human Body Bank which was measured using 3D body scanners. The profiles of four tissues, bone, skin, muscle and fat are mapped. The surface data of the segment is dissected into several equally-spaced cross-sections along its longitudinal axis like that of the MRI tomographical cross-sectional diagrams. For each pair of cross-sections, the profile of the tomographical data is superimposed on the surface data, and registered and aligned. First, the bone of MRI is directly mapped onto surface data. Second, the skin profile is deformed to match the contour of surface data. Then, profile of muscle is re-scaled in order to maintain the same size as that of the tomographical data. The area bound between the skin and the muscle is considered as fat. The new cross-section consists of a profile with 4 tissues of different densities, bone 1.579, muscle 1.08, skin 1.06, and fat 0.937. This is used to derive the mass distribution profile of the cross-section. Upon the completion of all the distribution profiles for the segment, these cross-sections are used to re-construct into a solid segment. The final solid segment is then finally dissected into infinitesimal solid lattices of mass distribution for the computation of biomechanical parameters. Keywords: MRI (Magnetic Resonance Imaging), 3D Human Body Bank, Mass distribution profile