Frequency domain, photoacoustic tomography with sparse frequency samples

S. M. Akramus Salehin; Thushara D. Abhayapala

doi:10.1109/SIPS.2010.5624800

Frequency domain, photoacoustic tomography with sparse frequency samples

S. M. Akramus Salehin, Thushara D. Abhayapala

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

4 Citations (Scopus)

Abstract

Photoacoustic imaging provides a high resolution imaging solution for biological tissues. In this paper, we consider recovering the z-averaged spatial distribution using a cylindrical array of sensors long in the z-direction. This configuration can be applied for breast imaging. In previous frequency domain algorithms there is no way to determine the optimum, minimum number of frequency samples required. We propose a novel frequency domain algorithm which uses a minimum number of frequency samples for image reconstruction. Further, we propose a method to calculate this minimum number of frequency samples. Provided there is no aliasing our proposed method, using a reduced number of frequency samples, provides similar results to previous frequency reconstruction methods.

Original language	English
Title of host publication	2010 IEEE Workshop on Signal Processing Systems, SiPS 2010 - Proceedings
Pages	260-265
Number of pages	6
DOIs	https://doi.org/10.1109/SIPS.2010.5624800
Publication status	Published - 2010
Event	2010 IEEE Workshop on Signal Processing Systems, SiPS 2010 - San Francisco, CA, United States Duration: 6 Oct 2010 → 8 Oct 2010

Publication series

Name	IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
ISSN (Print)	1520-6130

Conference

Conference	2010 IEEE Workshop on Signal Processing Systems, SiPS 2010
Country/Territory	United States
City	San Francisco, CA
Period	6/10/10 → 8/10/10

Access to Document

10.1109/SIPS.2010.5624800

Cite this

@inproceedings{4b9a274206064037b79d4ddf4bcac8f4,

title = "Frequency domain, photoacoustic tomography with sparse frequency samples",

abstract = "Photoacoustic imaging provides a high resolution imaging solution for biological tissues. In this paper, we consider recovering the z-averaged spatial distribution using a cylindrical array of sensors long in the z-direction. This configuration can be applied for breast imaging. In previous frequency domain algorithms there is no way to determine the optimum, minimum number of frequency samples required. We propose a novel frequency domain algorithm which uses a minimum number of frequency samples for image reconstruction. Further, we propose a method to calculate this minimum number of frequency samples. Provided there is no aliasing our proposed method, using a reduced number of frequency samples, provides similar results to previous frequency reconstruction methods.",

keywords = "2.5 Dimensional reconstruction, Fourier-Domain, FourierBessel series, Photoacoustic tomography, Thermoacoustic tomography",

author = "{Akramus Salehin}, {S. M.} and Abhayapala, {Thushara D.}",

year = "2010",

doi = "10.1109/SIPS.2010.5624800",

language = "English",

isbn = "9781424489336",

series = "IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation",

pages = "260--265",

booktitle = "2010 IEEE Workshop on Signal Processing Systems, SiPS 2010 - Proceedings",

note = "2010 IEEE Workshop on Signal Processing Systems, SiPS 2010 ; Conference date: 06-10-2010 Through 08-10-2010",

}

Akramus Salehin, SM & Abhayapala, TD 2010, Frequency domain, photoacoustic tomography with sparse frequency samples. in 2010 IEEE Workshop on Signal Processing Systems, SiPS 2010 - Proceedings., 5624800, IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation, pp. 260-265, 2010 IEEE Workshop on Signal Processing Systems, SiPS 2010, San Francisco, CA, United States, 6/10/10. https://doi.org/10.1109/SIPS.2010.5624800

Frequency domain, photoacoustic tomography with sparse frequency samples. / Akramus Salehin, S. M.; Abhayapala, Thushara D.
2010 IEEE Workshop on Signal Processing Systems, SiPS 2010 - Proceedings. 2010. p. 260-265 5624800 (IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation).

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

TY - GEN

T1 - Frequency domain, photoacoustic tomography with sparse frequency samples

AU - Akramus Salehin, S. M.

AU - Abhayapala, Thushara D.

PY - 2010

Y1 - 2010

N2 - Photoacoustic imaging provides a high resolution imaging solution for biological tissues. In this paper, we consider recovering the z-averaged spatial distribution using a cylindrical array of sensors long in the z-direction. This configuration can be applied for breast imaging. In previous frequency domain algorithms there is no way to determine the optimum, minimum number of frequency samples required. We propose a novel frequency domain algorithm which uses a minimum number of frequency samples for image reconstruction. Further, we propose a method to calculate this minimum number of frequency samples. Provided there is no aliasing our proposed method, using a reduced number of frequency samples, provides similar results to previous frequency reconstruction methods.

AB - Photoacoustic imaging provides a high resolution imaging solution for biological tissues. In this paper, we consider recovering the z-averaged spatial distribution using a cylindrical array of sensors long in the z-direction. This configuration can be applied for breast imaging. In previous frequency domain algorithms there is no way to determine the optimum, minimum number of frequency samples required. We propose a novel frequency domain algorithm which uses a minimum number of frequency samples for image reconstruction. Further, we propose a method to calculate this minimum number of frequency samples. Provided there is no aliasing our proposed method, using a reduced number of frequency samples, provides similar results to previous frequency reconstruction methods.

KW - 2.5 Dimensional reconstruction

KW - Fourier-Domain

KW - FourierBessel series

KW - Photoacoustic tomography

KW - Thermoacoustic tomography

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U2 - 10.1109/SIPS.2010.5624800

DO - 10.1109/SIPS.2010.5624800

M3 - Conference contribution

SN - 9781424489336

T3 - IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation

SP - 260

EP - 265

BT - 2010 IEEE Workshop on Signal Processing Systems, SiPS 2010 - Proceedings

T2 - 2010 IEEE Workshop on Signal Processing Systems, SiPS 2010

Y2 - 6 October 2010 through 8 October 2010

ER -

Frequency domain, photoacoustic tomography with sparse frequency samples

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