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Exact BPF and FBP algorithms for nonstandard saddle curves
Author(s) -
Yu Hengyong,
Zhao Shiying,
Ye Yangbo,
Wang Ge
Publication year - 2005
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.2074207
Subject(s) - algorithm , iterative reconstruction , saddle , image processing , reconstruction algorithm , chord (peer to peer) , mathematics , image quality , computer vision , computer science , artificial intelligence , image (mathematics) , mathematical optimization , distributed computing
A hot topic in cone‐beam CT research is exact cone‐beam reconstruction from a general scanning trajectory. Particularly, a nonstandard saddle curve attracts attention, as this construct allows the continuous periodic scanning of a volume‐of‐interest (VOI). Here we evaluate two algorithms for reconstruction from data collected along a nonstandard saddle curve, which are in the filtered backprojection (FBP) and backprojection filtration (BPF) formats, respectively. Both the algorithms are implemented in a chord‐based coordinate system. Then, a rebinning procedure is utilized to transform the reconstructed results into the natural coordinate system. The simulation results demonstrate that the FBP algorithm produces better image quality than the BPF algorithm, while both the algorithms exhibit similar noise characteristics.

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