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Feldkamp‐type VOI reconstruction from super‐short‐scan cone‐beam data
Author(s) -
Yu Hengyong,
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 - 10.1118/1.1739298
Subject(s) - iterative reconstruction , spiral (railway) , algorithm , reconstruction algorithm , beam (structure) , computer science , imaging phantom , data consistency , consistency (knowledge bases) , artificial intelligence , computer vision , mathematics , optics , physics , mathematical analysis , operating system
Based on the fan‐beam reconstruction formula recently developed by Noo et al. [Phys. Med. Biol. 47 , 2525–2546 (2002)] we develop a Feldkamp‐type algorithm for the reconstruction of a volume of interest (VOI) from super‐short‐scan data. With either a circular or spiral scanning locus in our VOI reconstruction scheme, we first estimate fan‐beam data from cone‐beam data using the popular “cosine correction” scheme, and perform reconstruction based on Noo's FBP‐type fan‐beam reconstruction. Our proposed algorithm is tested using the three‐dimensional (3‐D) Shepp–Logan phantom. The experimental results show that the new algorithm can be applied to multi‐source 4‐D CT with significantly superior temporal resolution and temporal consistency relative to the Katsevich algorithm, which is the state of the art for exact helical cone‐beam reconstruction.