@article{BIAN2010, 
author = {Junguo BIAN and Dan XIA and Emil Y SIDKY and Xiaochuan PAN},
title = {Region of Interest Imaging for a General Trajectory with the Rebinned BPF Algorithm},
year = {2010},
journal = {Tsinghua Science and Technology},
volume = {15},
number = {1},
pages = {68-73},
keywords = {computed tomography, region of interest, general trajectory, rebinned backprojection-filtration},
url = {https://www.sciopen.com/article/10.1016/S1007-0214(10)70011-0},
doi = {10.1016/S1007-0214(10)70011-0},
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.}
}