2D versus 3D total variation minimization in digital breast tomosynthesis

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

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

Abstract

Total variation (TV) minimization has become an important tool for the sparse image reconstruction. In this study a realistic 3D digital breast tomosynthesis (DBT) data was reconstructed and compared using two different forms of TV: (i) 2D reconstruction by applying TV layer by layer (ii) 3D reconstruction of the entire data. It can be assumed that a 3D reconstruction should perform better. However, in real DBT the resolution in z direction is about 10-15 times lower than the resolution in x-y plane. This study investigates the performance of the reconstruction when a TV term in z direction is added into the cost function of TV minimization.

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

  • compressed sensing
  • digital breast tomosynthesis
  • total variation

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