An iterative tomosynthesis reconstruction using total variation combined with non-local means filtering

Metin Ertas, Isa Yildirim*, Mustafa Kamasak, Aydin Akan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

Background: After the release of compressed sensing (CS) theory, reconstruction algorithms from sparse and incomplete data have shown great improvements in diminishing artifacts of missing data. Following this progress, both local and non-local regularization induced iterative reconstructions have been actively used in limited view angle imaging problems.Methods: In this study, a 3D iterative image reconstruction method (ART + TV)NLM was introduced by combining local total variation (TV) with non-local means (NLM) filter. In the first step, TV minimization was applied to the image obtained by algebraic reconstruction technique (ART) for background noise removal with preserving edges. In the second step, NLM is used in order to suppress the out of focus slice blur which is the most existent image artifact in tomosynthesis imaging. NLM exploits the similar structures to increase the smoothness in the image reconstructed by ART + TV.Results: A tomosynthesis system and a 3D phantom were designed to perform simulations to show the superior performance of our proposed (ART + TV)NLM over ART and widely used ART + TV methods. Visual inspections show a significant improvement in image quality compared to ART and ART + TV.Conclusions: RMSE, Structure SIMilarity (SSIM) value and SNR of a specific layer of interest (LOI) showed that by proper selection of NLM parameters, significant improvements can be achieved in terms of convergence rate and image quality.

Original languageEnglish
Article number65
JournalBioMedical Engineering Online
Volume13
Issue number1
DOIs
Publication statusPublished - 27 May 2014

Funding

This work has been supported by TUBITAK, The Scientific and Research Council of Turkey, under the grant 111E086.

FundersFunder number
Scientific and Research Council of Turkey111E086
TUBITAK

    Keywords

    • ART
    • Compressed sensing
    • Non local means
    • Tomosynthesis
    • Total variation

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