Hard thresholding based compressed sensing approach for thermoacoustic tomography

Ulas Taskin; Emre Yalcin; Ozgur Ozdemir

doi:10.1109/URSI-EMTS.2016.7571528

Hard thresholding based compressed sensing approach for thermoacoustic tomography

Ulas Taskin, Emre Yalcin, Ozgur Ozdemir

Department of Electronics and Communication Engineering

Istanbul Technical University

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

1 Citation (Scopus)

Abstract

In this paper we present a reconstruction method based on compressed sensing for thermoacoustic tomography. The proposed method combines hard thresholding algorithm with conjugate gradient method to solve the inverse source problem of thermoacoustic tomography. Within the compressed sensing approach, the method is applied to thermoacoustic tomography. Numerical results for two different scenarios verify that the proposed method improves the image reconstruction quality with under-sampled data.

Original language	English
Title of host publication	2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	815-817
Number of pages	3
ISBN (Electronic)	9781509025022
DOIs	https://doi.org/10.1109/URSI-EMTS.2016.7571528
Publication status	Published - 19 Sept 2016
Event	2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016 - Espoo, Finland Duration: 14 Aug 2016 → 18 Aug 2016

Publication series

Name	2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016

Conference

Conference	2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016
Country/Territory	Finland
City	Espoo
Period	14/08/16 → 18/08/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

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10.1109/URSI-EMTS.2016.7571528

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Taskin, U., Yalcin, E., & Ozdemir, O. (2016). Hard thresholding based compressed sensing approach for thermoacoustic tomography. In 2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016 (pp. 815-817). Article 7571528 (2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/URSI-EMTS.2016.7571528

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abstract = "In this paper we present a reconstruction method based on compressed sensing for thermoacoustic tomography. The proposed method combines hard thresholding algorithm with conjugate gradient method to solve the inverse source problem of thermoacoustic tomography. Within the compressed sensing approach, the method is applied to thermoacoustic tomography. Numerical results for two different scenarios verify that the proposed method improves the image reconstruction quality with under-sampled data.",

author = "Ulas Taskin and Emre Yalcin and Ozgur Ozdemir",

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Taskin, U, Yalcin, E & Ozdemir, O 2016, Hard thresholding based compressed sensing approach for thermoacoustic tomography. in 2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016., 7571528, 2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016, Institute of Electrical and Electronics Engineers Inc., pp. 815-817, 2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016, Espoo, Finland, 14/08/16. https://doi.org/10.1109/URSI-EMTS.2016.7571528

Hard thresholding based compressed sensing approach for thermoacoustic tomography. / Taskin, Ulas; Yalcin, Emre; Ozdemir, Ozgur.
2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 815-817 7571528 (2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016).

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

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AB - In this paper we present a reconstruction method based on compressed sensing for thermoacoustic tomography. The proposed method combines hard thresholding algorithm with conjugate gradient method to solve the inverse source problem of thermoacoustic tomography. Within the compressed sensing approach, the method is applied to thermoacoustic tomography. Numerical results for two different scenarios verify that the proposed method improves the image reconstruction quality with under-sampled data.

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Taskin U, Yalcin E, Ozdemir O. Hard thresholding based compressed sensing approach for thermoacoustic tomography. In 2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 815-817. 7571528. (2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016). doi: 10.1109/URSI-EMTS.2016.7571528

Hard thresholding based compressed sensing approach for thermoacoustic tomography

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