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Cone‐beam mammo‐computed tomography from data along two tilting arcs
Author(s) -
Zeng Kai,
Yu Hengyong,
Fajardo Laurie L.,
Wang Ge
Publication year - 2006
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 - 10.1118/1.2336510
Subject(s) - cone beam computed tomography , truncation (statistics) , iterative reconstruction , invariant (physics) , tomography , algorithm , beam (structure) , cone (formal languages) , mathematics , computed tomography , computer science , optics , physics , computer vision , medicine , statistics , mathematical physics , radiology
Over the past several years there has been an increasing interest in cone‐beam computed tomography (CT) for breast imaging. In this article, we propose a new scheme for theoretically exact cone‐beam mammo‐CT and develop a corresponding Katsevich‐type reconstruction algorithm. In our scheme, cone‐beam scans are performed along two tilting arcs to collect a sufficient amount of information for exact reconstruction. In our algorithm, cone‐beam data are filtered in a shift‐invariant fashion and then weighted backprojected into the three‐dimensional space for the final reconstruction. Our approach has several desirable features, including tolerance of axial data truncation, efficiency in sequential/parallel implementation, and accuracy for quantitative analysis. We also demonstrate the system performance and clinical utility of the proposed technique in numerical simulations.