Implementation of maj orization-minimization (MM) algorithm for 3D total variation minimization in DBT image reconstruction

Adem Polat; Nuno Matela; Ana Margarida Mota; Isa Yildirim

doi:10.1109/NSSMIC.2016.8069493

Implementation of maj orization-minimization (MM) algorithm for 3D total variation minimization in DBT image reconstruction

Adem Polat, Nuno Matela, Ana Margarida Mota, Isa Yildirim

Department of Electronics and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Digital Breast Tomosynthesis (DBT) is a developing imaging modality which produces 3D images of a breast. Iterative image reconstruction techniques, such as Algebraic reconstruction technique (ART), have been proposed to help increasing success in detecting masses and micro-calcifications. To enhance the quality of reconstructed image, total variation (TV) minimization was applied to the images reconstructed by ART. Nowadays, the number of published papers dealing with 3D TV minimization on ART (ART+TV3D) tends to increase. On the other hand, in the signal processing literature, a new majorization-minimization (MM) algorithm on TV denoising is described for an N-point x(n) as 1D signal. According to our literature review, this 1D MM algorithm has not been applied to DBT studies yet. In this paper, we propose a method to combine MM1D algorithm with ART+TV3D: "ART+TV3D+MM1D". Both quantitative and qualitative analyses of the proposed method ART+TV3D+MM1D, ART+TV3D, and ART are performed for a phantom that mimics 3D breast and a real 3D breast phantom with 301x236x8-dimensions.

Original language	English
Title of host publication	2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509016426
DOIs	https://doi.org/10.1109/NSSMIC.2016.8069493
Publication status	Published - 16 Oct 2017
Event	2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016 - Strasbourg, France Duration: 29 Oct 2016 → 6 Nov 2016

Publication series

Name	2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
Volume	2017-January

Conference

Conference	2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
Country/Territory	France
City	Strasbourg
Period	29/10/16 → 6/11/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Digital breast tomosynthesis
Iterative reconstruction
Majorization-minimization
Total variation

Access to Document

10.1109/NSSMIC.2016.8069493

Cite this

Polat, A., Matela, N., Mota, A. M., & Yildirim, I. (2017). Implementation of maj orization-minimization (MM) algorithm for 3D total variation minimization in DBT image reconstruction. In 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016 Article 8069493 (2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2016.8069493

Polat, Adem ; Matela, Nuno ; Mota, Ana Margarida et al. / Implementation of maj orization-minimization (MM) algorithm for 3D total variation minimization in DBT image reconstruction. 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016. Institute of Electrical and Electronics Engineers Inc., 2017. (2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016).

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title = "Implementation of maj orization-minimization (MM) algorithm for 3D total variation minimization in DBT image reconstruction",

abstract = "Digital Breast Tomosynthesis (DBT) is a developing imaging modality which produces 3D images of a breast. Iterative image reconstruction techniques, such as Algebraic reconstruction technique (ART), have been proposed to help increasing success in detecting masses and micro-calcifications. To enhance the quality of reconstructed image, total variation (TV) minimization was applied to the images reconstructed by ART. Nowadays, the number of published papers dealing with 3D TV minimization on ART (ART+TV3D) tends to increase. On the other hand, in the signal processing literature, a new majorization-minimization (MM) algorithm on TV denoising is described for an N-point x(n) as 1D signal. According to our literature review, this 1D MM algorithm has not been applied to DBT studies yet. In this paper, we propose a method to combine MM1D algorithm with ART+TV3D: {"}ART+TV3D+MM1D{"}. Both quantitative and qualitative analyses of the proposed method ART+TV3D+MM1D, ART+TV3D, and ART are performed for a phantom that mimics 3D breast and a real 3D breast phantom with 301x236x8-dimensions.",

keywords = "Digital breast tomosynthesis, Iterative reconstruction, Majorization-minimization, Total variation",

author = "Adem Polat and Nuno Matela and Mota, {Ana Margarida} and Isa Yildirim",

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Polat, A, Matela, N, Mota, AM & Yildirim, I 2017, Implementation of maj orization-minimization (MM) algorithm for 3D total variation minimization in DBT image reconstruction. in 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016., 8069493, 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016, Strasbourg, France, 29/10/16. https://doi.org/10.1109/NSSMIC.2016.8069493

Implementation of maj orization-minimization (MM) algorithm for 3D total variation minimization in DBT image reconstruction. / Polat, Adem; Matela, Nuno; Mota, Ana Margarida et al.
2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 8069493 (2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Implementation of maj orization-minimization (MM) algorithm for 3D total variation minimization in DBT image reconstruction

AU - Polat, Adem

AU - Matela, Nuno

AU - Mota, Ana Margarida

AU - Yildirim, Isa

PY - 2017/10/16

Y1 - 2017/10/16

N2 - Digital Breast Tomosynthesis (DBT) is a developing imaging modality which produces 3D images of a breast. Iterative image reconstruction techniques, such as Algebraic reconstruction technique (ART), have been proposed to help increasing success in detecting masses and micro-calcifications. To enhance the quality of reconstructed image, total variation (TV) minimization was applied to the images reconstructed by ART. Nowadays, the number of published papers dealing with 3D TV minimization on ART (ART+TV3D) tends to increase. On the other hand, in the signal processing literature, a new majorization-minimization (MM) algorithm on TV denoising is described for an N-point x(n) as 1D signal. According to our literature review, this 1D MM algorithm has not been applied to DBT studies yet. In this paper, we propose a method to combine MM1D algorithm with ART+TV3D: "ART+TV3D+MM1D". Both quantitative and qualitative analyses of the proposed method ART+TV3D+MM1D, ART+TV3D, and ART are performed for a phantom that mimics 3D breast and a real 3D breast phantom with 301x236x8-dimensions.

AB - Digital Breast Tomosynthesis (DBT) is a developing imaging modality which produces 3D images of a breast. Iterative image reconstruction techniques, such as Algebraic reconstruction technique (ART), have been proposed to help increasing success in detecting masses and micro-calcifications. To enhance the quality of reconstructed image, total variation (TV) minimization was applied to the images reconstructed by ART. Nowadays, the number of published papers dealing with 3D TV minimization on ART (ART+TV3D) tends to increase. On the other hand, in the signal processing literature, a new majorization-minimization (MM) algorithm on TV denoising is described for an N-point x(n) as 1D signal. According to our literature review, this 1D MM algorithm has not been applied to DBT studies yet. In this paper, we propose a method to combine MM1D algorithm with ART+TV3D: "ART+TV3D+MM1D". Both quantitative and qualitative analyses of the proposed method ART+TV3D+MM1D, ART+TV3D, and ART are performed for a phantom that mimics 3D breast and a real 3D breast phantom with 301x236x8-dimensions.

KW - Digital breast tomosynthesis

KW - Iterative reconstruction

KW - Majorization-minimization

KW - Total variation

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M3 - Conference contribution

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T3 - 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016

BT - 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016

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ER -

Polat A, Matela N, Mota AM, Yildirim I. Implementation of maj orization-minimization (MM) algorithm for 3D total variation minimization in DBT image reconstruction. In 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 8069493. (2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016). doi: 10.1109/NSSMIC.2016.8069493

Implementation of maj orization-minimization (MM) algorithm for 3D total variation minimization in DBT image reconstruction

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Keywords

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