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Investigation of megavoltage local tomography for detecting setup errors in radiation therapy

We investigate the problem of reconstructing a 3D image of a tumor volume from a set of truncated MV cone-beam projections. Our proposed approach is distinct from previously investigated approaches in that it utilizes a local tomography reconstruction algorithm. Using simulated and experimental MV projection data, we demonstrate that a local cone-beam tomography algorithm can reconstruct accurate images that contain information regarding boundaries and edges inside a localized region of interest. We also demonstrate that the conventional Feldkamp-Davis-Kress cone-beam reconstruction algorithm is not well-suited for reconstructing images of low-contrast structures from truncated cone-beam projections.