Digital breast tomosynthesis imaging using total variation and non-local means

Metin Ertas, Aydin Akan, Isa Yildirim, Ali Dinler, Mustafa Kamasak

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Digital breast tomosynthesis (DBT) generates 3D images of breast by using 2D projections taken from a limited view angle. Due to the ill-posed nature of the image reconstruction in DBT alternative image reconstruction methods have been introduced for better image quality. In this study, an efficient DBT image reconstruction algorithm has been introduced. The proposed method was formulated as combination of algebraic reconstruction technique (ART), total variation (TV) and non-local means (NLM). A real DBT data set and a commercially available 3D phantom were used for performance evaluations. Results of our study showed that ART+TV+NLM helped in obtaining better reconstructed images than those obtained by ART and ART+TV in terms of reduced background noise, out-of-plane artifacts while keeping the details well-preserved.

Original languageEnglish
Title of host publicationIST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479986330
DOIs
Publication statusPublished - 7 Oct 2015
Event12th IEEE International Conference on Imaging Systems and Techniques, IST 2015 - Macau, China
Duration: 16 Sept 201518 Sept 2015

Publication series

NameIST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings

Conference

Conference12th IEEE International Conference on Imaging Systems and Techniques, IST 2015
Country/TerritoryChina
CityMacau
Period16/09/1518/09/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • algebraic reconstruction technique
  • digital breast tomosynthesis
  • non-local means
  • total variation

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