P Norm Regularized Breast Tomosynthesis Image Reconstruction

Gamze Demirel, Isa Yildirim, Metin Ertas

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

1 Citation (Scopus)

Abstract

3D cross-sectional images of a breast can be obtained by using limited number of projection data taken from a limited angle with the Digital Breast Tomosynthesis (DBT), which is one of the breast cancer imaging techniques. However, the limited scanning angle and the missing data problem in the DBT cause distortions in reconstructed images. In this study, a regularizer (anisotropic total variation-ATV) that can be used with iterative reconstruction methods has been developed with taking into account DBT system geometry for the missing data problem. At the same time, the minimization of the gradient of the developed ATV, was made with lp norm, which was defined as non-convex depending on the p values. The efficiency of the developed algorithm was evaluated visually and quantitatively using CNR measurements with the help of projection data taken from the real DBT system of the CIRS BR3D phantom. The obtained results confirm that the proposed method provides better contrast resolution to image microcalcifications in a breast tissue.

Original languageEnglish
Title of host publicationTIPTEKNO 2021 - Tip Teknolojileri Kongresi - 2021 Medical Technologies Congress
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665436632
DOIs
Publication statusPublished - 2021
Event2021 Medical Technologies Congress, TIPTEKNO 2021 - Antalya, Turkey
Duration: 4 Nov 20216 Nov 2021

Publication series

NameTIPTEKNO 2021 - Tip Teknolojileri Kongresi - 2021 Medical Technologies Congress

Conference

Conference2021 Medical Technologies Congress, TIPTEKNO 2021
Country/TerritoryTurkey
CityAntalya
Period4/11/216/11/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Funding

ACKNOWLEDGMENT This study was supported by the Istanbul Technical University Scientific Research Projects (BAP) with the project number MYL-2020-42523.

FundersFunder number
Istanbul Teknik ÜniversitesiMYL-2020-42523

    Keywords

    • 3D Breast imaging
    • anisotropic total variation
    • non-convex.
    • tomosynthesis

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