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An error‐reduction‐based algorithm for cone‐beam computed tomography
Author(s) -
Zeng Kai,
Chen Zhiqiang,
Zhang Li,
Wang Ge
Publication year - 2004
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 - 10.1118/1.1809792
Subject(s) - reduction (mathematics) , algorithm , iterative reconstruction , cone beam computed tomography , projection (relational algebra) , image quality , trajectory , mathematics , tomography , reconstruction algorithm , ligand cone angle , cone (formal languages) , computer vision , computer science , image (mathematics) , optics , computed tomography , geometry , physics , medicine , conical surface , astronomy , radiology
Image reconstruction from cone‐beam projections collected along a single circular source trajectory is commonly done using the Feldkamp algorithm, which performs well only with a small cone angle. In this report, we propose an error‐reduction‐based algorithm to increase the cone angle by several folds to achieve satisfactory image quality at the same radiation dose. In our scheme, we first reconstruct the object using the Feldkamp algorithm. Then, we synthesize cone‐beam projection data from the reconstructed volume in the same geometry, and reconstruct the volume again from the synthesized projections. Finally, these two reconstruction results are combined to reduce the reconstruction error and produce a superior image volume. The merit of this algorithm is demonstrated in numerical simulation.