title: Region of Interest Imaging for a General Trajectory with the Rebinned BPF Algorithm.
abstract: The back-projection-filtration (BPF) algorithm has been applied to image reconstruction for cone-beam configurations with general source trajectories. The BPF algorithm can reconstruct 3-D region-of-interest (ROI) images from data containing truncations. However, like many other existing algorithms for cone-beam configurations, the BPF algorithm involves a back-projection with a spatially varying weighting factor, which can result in the non-uniform noise levels in reconstructed images and increased computation time. In this work, we propose a BPF algorithm to eliminate the spatially varying weighting factor by using a rebinned geometry for a general scanning trajectory. This proposed BPF algorithm has an improved noise property, while retaining the advantages of the original BPF algorithm such as minimum data requirement.
authors.affiliation: Department of Radiology, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL 60637, USA.
authors.forename: Junguo
authors.initials: J
authors.lastname: Bian
authors.forename: Dan
authors.initials: D
authors.lastname: Xia
authors.forename: Emil Y
authors.initials: EY
authors.lastname: Sidky
authors.forename: Xiaochuan
authors.initials: X
authors.lastname: Pan