An iterative reconstruction for tomosynthesis imaging using Non-Local Means

Metin Ertas, Aydin Akan, Isa Yildirim, Mustafa Kamasak

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

2 Citations (Scopus)

Abstract

This paper proposes a new 3D iterative reconstruction method for reducing out-of-focus slice blur in tomosynthesis imaging by combining two powerful denoising methods. The methods used in the reconstruction are based on Total Variation (TV) minimization and Non-Local Means (NLM) filtering. A new method (ART+TV)NLM is introduced by adapting both methods to Algebraic reconstruction technique (ART) which is one of the most commonly used iterative method in limited angle tomographic imaging. Simulations were performed on a designed 3D phantom. The method is shown to be more effective by keeping SNR higher and RMSE values lower compared to the ART and ART+TV reconstructions.

Original languageEnglish
Title of host publicationIST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages325-328
Number of pages4
ISBN (Electronic)9781479967483
DOIs
Publication statusPublished - 14 Nov 2014
Event2014 IEEE International Conference on Imaging Systems and Techniques, IST 2014 - Santorini Island, Greece
Duration: 14 Oct 201417 Oct 2014

Publication series

NameIST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings

Conference

Conference2014 IEEE International Conference on Imaging Systems and Techniques, IST 2014
Country/TerritoryGreece
CitySantorini Island
Period14/10/1417/10/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • denoising
  • non-local means
  • Tomosynthesis
  • total variation

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