Modeling of 3D inhomogeneous human body from medical images

This study presents a comprehensive approach for modeling the human torso as an inhomogeneous volume conductor using medical imaging data. CT scans of a male human subject were processed through a sequence of image segmentation and boundary extraction techniques to construct both surface and volume models of major organs, including the lungs, liver, and bones. The surface model relies on isotropic assumptions for each organ, while the volume model enables future incorporation of tissue anisotropy. Manual and automatic techniques were combined to extract organ contours, smooth boundaries, and construct three-dimensional representations. The resulting model provides a realistic anatomical structure suitable for advanced biomedical simulations and electrical activity mapping.