Development of Photoacoustic System for Breast Cancer Detection

Soonhyouk Lee; Yun-Seo Ji; Rena Lee

doi:10.14316/pmp.2013.24.3.183

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Lee, Ji, and Lee: Development of Photoacoustic System for Breast Cancer Detection

Original Article

Progress in Medical Physics 2013;24(3):183-190.

Published online: 17 September 2013

DOI: https://doi.org/10.14316/pmp.2013.24.3.183

Development of Photoacoustic System for Breast Cancer Detection

Soonhyouk Lee^∗, Yun-Seo Ji^∗, Rena Lee^†

^∗Department of Medical Science, School of Medicine, Ewha Womans University, Seoul, Korea

^†Department of Radiation Oncology, School of Medicine, Ewha Womans University, Seoul, Korea

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Recently, the photoacoustic imaging system has been widely and intensively developed, and has been shown the possibility of diagnosis for early stage cancer. In this study, we developed a photoacoustic tomography imaging system with a commercial ultra sound device and a linear array probe. A tube phantom and a chicken breast phantom was made for the possibility of a system as a breast cancer detection. A moving average filter and a band pass filter with 3∼6 MHz bandwidth were developed for background noise elimination before delay-and-sum beamforming algorithm was used for image reconstruction. As a result, we showed that some signal processing procedure before beamforming was effective for the photoacoustic image reconstruction.

Keywords: Photoacoustic tomography, Linear array transducer, Breast cancer

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Fig. 1.

Photoacoustic imaging system.

Fig. 2.

(a) Silicon tube phantom filled with methylene blue, (b) Chicken breast phantom inserted with silicon tube filled with methylene blue, (c) Measurement of tube phantom by probe module, (d) Measurement of chicken breast phantom by probe module.

Fig. 3.

(a) Ultra sound image of tube phantom, (b) Photoacoustic signal of tube phantom, (c) Reconstructed image by DAS algorithm, (d) XY plane reconstructed image by 3D scanning.

Fig. 4.

3D scanning method. (a) Y-axis scanning. (b) Photoacoustic image of x-z image. (c) Reconstructed x-y plane image of a fixed z-depth.

Fig. 5.

Reconstructed image of chicken breast phantom with signal processing and without signal processing.

Fig. 6.

Fusion of ultrasound and photoacoustic image of chicken breast phantom.

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