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Cone-beam mammo-computed tomography from data along two tilting arcs.

Kai Zeng·Hengyong Yu·Laurie L Fajardo·Ge Wang
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Abstract

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.

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AlgorithmsBreastHumansImage Processing, Computer-AssistedMammographyModels, StatisticalModels, TheoreticalPhantoms, ImagingProgramming LanguagesRadiographic Image Interpretation, Computer-AssistedSoftwareTomography, Spiral ComputedTomography, X-Ray ComputedJournal ArticleResearch Support, N.I.H., Extramural

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Kai Zeng, Hengyong Yu, Laurie L Fajardo, Ge Wang. 2006. Cone-beam mammo-computed tomography from data along two tilting arcs.. https://doi.org/10.1118/1.2336510

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