Deep Learning Computed Tomography based on the Defrise and Clack Algorithm

arXiv:2403.00426v1 Announce Type: new
Abstract: This study presents a novel approach for reconstructing cone beam computed tomography (CBCT) for specific orbits using known operator learning. Unlike traditional methods, this technique employs a filtered backprojection type (FBP-type) algorithm, which integrates a unique, adaptive filtering process. This process involves a series of operations, including weightings, differentiations, the 2D Radon transform, and backprojection. The filter is designed for a specific orbit geometry and is obtained using a data-driven approach based on deep learning. …

abstract algorithm arxiv cs.cv deep learning filtering novel process series study type