Initial image selection in limited angle tomographic imaging

Metin Ertas; Aydin Akan; Isa Yildirim; Mustafa Kamasak

doi:10.1109/IST.2014.6958488

Initial image selection in limited angle tomographic imaging

Metin Ertas, Aydin Akan, Isa Yildirim, Mustafa Kamasak

Department of Computer Engineering

Istanbul University

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

2 Citations (Scopus)

Abstract

In limited angle tomographic imaging, artifacts arise due to missing data during the acquisition. To deal with this problem, iterative image reconstruction algorithms have been developed. In iterative reconstruction algorithms, the initial image guess which is often neglected is very crucial and plays an important role as it directly affects the convergence rate. This paper presents a comparison of three different initial images (zeroes image, average image, filtered back projected image) to observe their contribution to the convergence rate. Computer simulations are performed by using algebraic reconstruction technique with total variation, (ART + TV).Root means squared error (RMSE) of a specific layer of interest (LOI) of a 3D phantom is used to compare the impact of appropriate prior image selection. For a better visual observation, structure similarity (SSIM) parameters are also compared.

Original language	English
Title of host publication	IST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	278-281
Number of pages	4
ISBN (Electronic)	9781479967483
DOIs	https://doi.org/10.1109/IST.2014.6958488
Publication status	Published - 14 Nov 2014
Event	2014 IEEE International Conference on Imaging Systems and Techniques, IST 2014 - Santorini Island, Greece Duration: 14 Oct 2014 → 17 Oct 2014

Publication series

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

Conference

Conference	2014 IEEE International Conference on Imaging Systems and Techniques, IST 2014
Country/Territory	Greece
City	Santorini Island
Period	14/10/14 → 17/10/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

initial image
limited angle
tomographic imaging
total variation

Access to Document

10.1109/IST.2014.6958488

Cite this

Ertas, M., Akan, A., Yildirim, I., & Kamasak, M. (2014). Initial image selection in limited angle tomographic imaging. In IST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings (pp. 278-281). Article 6958488 (IST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IST.2014.6958488

Ertas, Metin ; Akan, Aydin ; Yildirim, Isa et al. / Initial image selection in limited angle tomographic imaging. IST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 278-281 (IST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings).

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abstract = "In limited angle tomographic imaging, artifacts arise due to missing data during the acquisition. To deal with this problem, iterative image reconstruction algorithms have been developed. In iterative reconstruction algorithms, the initial image guess which is often neglected is very crucial and plays an important role as it directly affects the convergence rate. This paper presents a comparison of three different initial images (zeroes image, average image, filtered back projected image) to observe their contribution to the convergence rate. Computer simulations are performed by using algebraic reconstruction technique with total variation, (ART + TV).Root means squared error (RMSE) of a specific layer of interest (LOI) of a 3D phantom is used to compare the impact of appropriate prior image selection. For a better visual observation, structure similarity (SSIM) parameters are also compared.",

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author = "Metin Ertas and Aydin Akan and Isa Yildirim and Mustafa Kamasak",

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doi = "10.1109/IST.2014.6958488",

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series = "IST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings",

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Ertas, M, Akan, A, Yildirim, I & Kamasak, M 2014, Initial image selection in limited angle tomographic imaging. in IST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings., 6958488, IST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 278-281, 2014 IEEE International Conference on Imaging Systems and Techniques, IST 2014, Santorini Island, Greece, 14/10/14. https://doi.org/10.1109/IST.2014.6958488

Initial image selection in limited angle tomographic imaging. / Ertas, Metin; Akan, Aydin; Yildirim, Isa et al.
IST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. p. 278-281 6958488 (IST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings).

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

TY - GEN

T1 - Initial image selection in limited angle tomographic imaging

AU - Ertas, Metin

AU - Akan, Aydin

AU - Yildirim, Isa

AU - Kamasak, Mustafa

PY - 2014/11/14

Y1 - 2014/11/14

N2 - In limited angle tomographic imaging, artifacts arise due to missing data during the acquisition. To deal with this problem, iterative image reconstruction algorithms have been developed. In iterative reconstruction algorithms, the initial image guess which is often neglected is very crucial and plays an important role as it directly affects the convergence rate. This paper presents a comparison of three different initial images (zeroes image, average image, filtered back projected image) to observe their contribution to the convergence rate. Computer simulations are performed by using algebraic reconstruction technique with total variation, (ART + TV).Root means squared error (RMSE) of a specific layer of interest (LOI) of a 3D phantom is used to compare the impact of appropriate prior image selection. For a better visual observation, structure similarity (SSIM) parameters are also compared.

AB - In limited angle tomographic imaging, artifacts arise due to missing data during the acquisition. To deal with this problem, iterative image reconstruction algorithms have been developed. In iterative reconstruction algorithms, the initial image guess which is often neglected is very crucial and plays an important role as it directly affects the convergence rate. This paper presents a comparison of three different initial images (zeroes image, average image, filtered back projected image) to observe their contribution to the convergence rate. Computer simulations are performed by using algebraic reconstruction technique with total variation, (ART + TV).Root means squared error (RMSE) of a specific layer of interest (LOI) of a 3D phantom is used to compare the impact of appropriate prior image selection. For a better visual observation, structure similarity (SSIM) parameters are also compared.

KW - initial image

KW - limited angle

KW - tomographic imaging

KW - total variation

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M3 - Conference contribution

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

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Ertas M, Akan A, Yildirim I , Kamasak M. Initial image selection in limited angle tomographic imaging. In IST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. p. 278-281. 6958488. (IST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings). doi: 10.1109/IST.2014.6958488

Initial image selection in limited angle tomographic imaging

Abstract

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Bibliographical note

Keywords

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