Photoacoustic image reconstruction quality enhancement based on optimum focusing by calculating mean acoustic sound-speed

Bing Cong; Kengo Kondo; Makoto Yamakawa; Tsuyoshi Shiina

doi:10.1109/ULTSYM.2014.0338

Photoacoustic image reconstruction quality enhancement based on optimum focusing by calculating mean acoustic sound-speed

Bing Cong, Kengo Kondo, Makoto Yamakawa, Tsuyoshi Shiina

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

2 Citations (Scopus)

Abstract

A constant sound speed of 1540 m/s is generally used in various photoacoustic image reconstruction algorithms, based on the assumption of homogeneous sound speed in human tissue. However, the variations of sound speeds in human tissue can be as great as 10%, which can lead to distortion and blurring in the reconstruction images. To enhance the reconstructed photoacoustic image quality, an automatically selected the mean sound speed based on optimum focusing of detected photoacoustic signals is proposed. The optimum focusing is quantified by calculating the minimum average sum of the deviation of focused photoacoustic signals from the mean with various sound speeds. The method is demonstrated using homogeneous and heterogeneous sound speed numerical simulation models. The central vertical and lateral profiles of reconstructed images verify the performance of the proposed method.

Original language	English
Title of host publication	IEEE International Ultrasonics Symposium, IUS
Publisher	IEEE Computer Society
Pages	1368-1371
Number of pages	4
ISBN (Electronic)	9781479970490
DOIs	https://doi.org/10.1109/ULTSYM.2014.0338
Publication status	Published - 2014 Oct 20
Externally published	Yes
Event	2014 IEEE International Ultrasonics Symposium, IUS 2014 - Chicago, United States Duration: 2014 Sept 3 → 2014 Sept 6

Publication series

Name	IEEE International Ultrasonics Symposium, IUS
ISSN (Print)	1948-5719
ISSN (Electronic)	1948-5727

Conference

Conference	2014 IEEE International Ultrasonics Symposium, IUS 2014
Country/Territory	United States
City	Chicago
Period	14/9/3 → 14/9/6

Keywords

image reconstruction
mean sound-speed estimation
optimum focusing
photoacoustic imaging

ASJC Scopus subject areas

Acoustics and Ultrasonics

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10.1109/ULTSYM.2014.0338

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Photoacoustic image reconstruction quality enhancement based on optimum focusing by calculating mean acoustic sound-speed. / Cong, Bing; Kondo, Kengo; Yamakawa, Makoto et al.

IEEE International Ultrasonics Symposium, IUS. IEEE Computer Society, 2014. p. 1368-1371 6931806 (IEEE International Ultrasonics Symposium, IUS).

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

Cong, B, Kondo, K, Yamakawa, M & Shiina, T 2014, Photoacoustic image reconstruction quality enhancement based on optimum focusing by calculating mean acoustic sound-speed. in IEEE International Ultrasonics Symposium, IUS., 6931806, IEEE International Ultrasonics Symposium, IUS, IEEE Computer Society, pp. 1368-1371, 2014 IEEE International Ultrasonics Symposium, IUS 2014, Chicago, United States, 14/9/3. https://doi.org/10.1109/ULTSYM.2014.0338

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title = "Photoacoustic image reconstruction quality enhancement based on optimum focusing by calculating mean acoustic sound-speed",

abstract = "A constant sound speed of 1540 m/s is generally used in various photoacoustic image reconstruction algorithms, based on the assumption of homogeneous sound speed in human tissue. However, the variations of sound speeds in human tissue can be as great as 10%, which can lead to distortion and blurring in the reconstruction images. To enhance the reconstructed photoacoustic image quality, an automatically selected the mean sound speed based on optimum focusing of detected photoacoustic signals is proposed. The optimum focusing is quantified by calculating the minimum average sum of the deviation of focused photoacoustic signals from the mean with various sound speeds. The method is demonstrated using homogeneous and heterogeneous sound speed numerical simulation models. The central vertical and lateral profiles of reconstructed images verify the performance of the proposed method.",

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author = "Bing Cong and Kengo Kondo and Makoto Yamakawa and Tsuyoshi Shiina",

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year = "2014",

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doi = "10.1109/ULTSYM.2014.0338",

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AU - Cong, Bing

AU - Kondo, Kengo

AU - Yamakawa, Makoto

AU - Shiina, Tsuyoshi

PY - 2014/10/20

Y1 - 2014/10/20

N2 - A constant sound speed of 1540 m/s is generally used in various photoacoustic image reconstruction algorithms, based on the assumption of homogeneous sound speed in human tissue. However, the variations of sound speeds in human tissue can be as great as 10%, which can lead to distortion and blurring in the reconstruction images. To enhance the reconstructed photoacoustic image quality, an automatically selected the mean sound speed based on optimum focusing of detected photoacoustic signals is proposed. The optimum focusing is quantified by calculating the minimum average sum of the deviation of focused photoacoustic signals from the mean with various sound speeds. The method is demonstrated using homogeneous and heterogeneous sound speed numerical simulation models. The central vertical and lateral profiles of reconstructed images verify the performance of the proposed method.

AB - A constant sound speed of 1540 m/s is generally used in various photoacoustic image reconstruction algorithms, based on the assumption of homogeneous sound speed in human tissue. However, the variations of sound speeds in human tissue can be as great as 10%, which can lead to distortion and blurring in the reconstruction images. To enhance the reconstructed photoacoustic image quality, an automatically selected the mean sound speed based on optimum focusing of detected photoacoustic signals is proposed. The optimum focusing is quantified by calculating the minimum average sum of the deviation of focused photoacoustic signals from the mean with various sound speeds. The method is demonstrated using homogeneous and heterogeneous sound speed numerical simulation models. The central vertical and lateral profiles of reconstructed images verify the performance of the proposed method.

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KW - mean sound-speed estimation

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KW - photoacoustic imaging

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Photoacoustic image reconstruction quality enhancement based on optimum focusing by calculating mean acoustic sound-speed

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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