Evaluation of time-efficient reconstruction methods in digital breast tomosynthesis

Three reconstruction algorithms for digital breast tomosynthesis were compared in this article: filtered back-projection (FBP), iterative adapted FBP and maximum likelihood-convex iterative algorithms. Quality metrics such as signal-difference-to-noise ratio, normalised line-profiles and artefact-sp...

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Bibliographic Details
Published inRadiation protection dosimetry Vol. 165; no. 1-4; p. 331
Main Authors Svahn, T M, Houssami, N
Format Journal Article
LanguageEnglish
Published England 01.07.2015
Subjects
Algorithms
Female
Humans
Image Processing, Computer-Assisted
Imaging, Three-Dimensional
Mammography - methods
Phantoms, Imaging
Radiographic Image Enhancement - methods
Radiographic Image Interpretation, Computer-Assisted - methods
Scattering, Radiation
Signal-To-Noise Ratio
Software
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Summary:Three reconstruction algorithms for digital breast tomosynthesis were compared in this article: filtered back-projection (FBP), iterative adapted FBP and maximum likelihood-convex iterative algorithms. Quality metrics such as signal-difference-to-noise ratio, normalised line-profiles and artefact-spread function were used for evaluation of reconstructed tomosynthesis images. The iterative-based methods offered increased image quality in terms of higher detectability and reduced artefacts, which will be further examined in clinical images.
ISSN:1742-3406
DOI:10.1093/rpd/ncv079