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

Computed tomography (CT) is a widely used imaging technique in medical diagnosis. It relies on collecting data about an object from multiple views representing its projections and subsequently using these data to construct an image. Among the latest advances in CT is the utilization of cone - beam geometry of x - ray projections is used instead of the usual planar fan beam. This technique is called cone beam CT (CBCT) and promises even faster yet safer 3D imaging compared to previous CT technologies. These advantages come at the expense of a more challenging reconstruction problem that is still an active research area to optimize for speed and image quality. Present reconstruction methods are classified into two main categories, namely; analytical and iterative methods. In this thesis, we study the performance of the leading reconstruction methods from both categories and investigate modifications in their parameter selection

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