Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering

Newly, research tended to the field of bone Tissue Engineering (TE). In TE, a highly porous artificial extracellular matrix or scaffold is required to accommodate cells and guide their growth and tissue regeneration in three dimensions. The design of scaffolds with an intricate and controlled internal structure represents a challenge for TE. In this thesis, we introduce a new method known as 2Automated Scaffold Design3 (ASD) for designing a 3D scaffold with a maximum homogeneous for its geometrical parameters. The method makes use of k-means clustering algorithm to separate the different tissues and hence decodes the defected bone portions. The segmented portions of different slices are registered to construct the 3D volume for the data. It makes use of two methods (exhaustive affine search and genetic algorithm) to reach for the best alignment. It also uses rendering techniques for 3D visualization of the scaffold. It provides the ability to visualize the transplanted as well as the normal bone portions

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