High-contrast imaging based on wavefront shaping to improve low signal-to-noise ratio photoacoustic signals using superpixel method

doi:10.1088/1674-1056/ab6842

中国物理B ›› 2020, Vol. 29 ›› Issue (3): 34301-034301.doi: 10.1088/1674-1056/ab6842

• ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS • 上一篇下一篇

High-contrast imaging based on wavefront shaping to improve low signal-to-noise ratio photoacoustic signals using superpixel method

Xinjing Lv(吕新晶), Xinyu Xu(徐新羽), Qi Feng(冯祺), Bin Zhang(张彬), Yingchun Ding(丁迎春), Qiang Liu(柳强)

1 College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, China;
2 State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing 100084, China

收稿日期:2019-11-15 修回日期:2019-12-31 出版日期:2020-03-05 发布日期:2020-03-05
通讯作者: Yingchun Ding, Qiang Liu E-mail:dingyc@mail.buct.edu.cn;qiangliu@mail.tsinghua.edu.cn
基金资助:
Project supported by the National Key Research and Development Program of China (Grant No. 2017YFB1104500), the Beijing Natural Science Foundation, China (Grant No. 7182091), the National Natural Science Foundation of China (Grant No. 21627813), and the Research Projects on Biomedical Transformation of China-Japan Friendship Hospital (Grant No. PYBZ1801).

High-contrast imaging based on wavefront shaping to improve low signal-to-noise ratio photoacoustic signals using superpixel method

Xinjing Lv(吕新晶)¹, Xinyu Xu(徐新羽)¹, Qi Feng(冯祺)¹, Bin Zhang(张彬)², Yingchun Ding(丁迎春)¹, Qiang Liu(柳强)²

1 College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, China;
2 State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing 100084, China

Received:2019-11-15 Revised:2019-12-31 Online:2020-03-05 Published:2020-03-05
Contact: Yingchun Ding, Qiang Liu E-mail:dingyc@mail.buct.edu.cn;qiangliu@mail.tsinghua.edu.cn
Supported by:
Project supported by the National Key Research and Development Program of China (Grant No. 2017YFB1104500), the Beijing Natural Science Foundation, China (Grant No. 7182091), the National Natural Science Foundation of China (Grant No. 21627813), and the Research Projects on Biomedical Transformation of China-Japan Friendship Hospital (Grant No. PYBZ1801).

摘要/Abstract

摘要： Photoacoustic (PA) imaging has drawn tremendous research interest for various applications in biomedicine and experienced exponential growth over the past decade. Since the scattering effect of biological tissue on ultrasound is two- to three-orders magnitude weaker than that of light, photoacoustic imaging can effectively improve the imaging depth. However, as the depth of imaging further increases, the incident light is seriously affected by scattering that the generated photoacoustic signal is very weak and the signal-to-noise ratio (SNR) is quite low. Low SNR signals can reduce imaging quality and even cause imaging failure. In this paper, we proposed a new wavefront shaping and imaging method of low SNR photoacoustic signal using digital micromirror device (DMD) based superpixel method. We combined the superpixel method with DMD to modulate the phase and amplitude of the incident light, and the genetic algorithm (GA) was used as the wavefront shaping algorithm. The enhancement of the photoacoustic signal reached 10.46. Then we performed scanning imaging by moving the absorber with the translation stage. A clear image with contrast of 8.57 was obtained while imaging with original photoacoustic signals could not be achieved. The proposed method opens new perspectives for imaging with weak photoacoustic signals.

关键词: photoacoustic imaging, wavefront shaping, superpixel method, high contrast imaging

Abstract: Photoacoustic (PA) imaging has drawn tremendous research interest for various applications in biomedicine and experienced exponential growth over the past decade. Since the scattering effect of biological tissue on ultrasound is two- to three-orders magnitude weaker than that of light, photoacoustic imaging can effectively improve the imaging depth. However, as the depth of imaging further increases, the incident light is seriously affected by scattering that the generated photoacoustic signal is very weak and the signal-to-noise ratio (SNR) is quite low. Low SNR signals can reduce imaging quality and even cause imaging failure. In this paper, we proposed a new wavefront shaping and imaging method of low SNR photoacoustic signal using digital micromirror device (DMD) based superpixel method. We combined the superpixel method with DMD to modulate the phase and amplitude of the incident light, and the genetic algorithm (GA) was used as the wavefront shaping algorithm. The enhancement of the photoacoustic signal reached 10.46. Then we performed scanning imaging by moving the absorber with the translation stage. A clear image with contrast of 8.57 was obtained while imaging with original photoacoustic signals could not be achieved. The proposed method opens new perspectives for imaging with weak photoacoustic signals.

Key words: photoacoustic imaging, wavefront shaping, superpixel method, high contrast imaging

中图分类号: (Thermoacoustics, high temperature acoustics, photoacoustic effect)

43.35.Ud

42.25.Dd (Wave propagation in random media) 42.25.Fx (Diffraction and scattering) 42.30.-d (Imaging and optical processing)

吕新晶, 徐新羽, 冯祺, 张彬, 丁迎春, 柳强. High-contrast imaging based on wavefront shaping to improve low signal-to-noise ratio photoacoustic signals using superpixel method[J]. 中国物理B, 2020, 29(3): 34301-034301.

Xinjing Lv(吕新晶), Xinyu Xu(徐新羽), Qi Feng(冯祺), Bin Zhang(张彬), Yingchun Ding(丁迎春), Qiang Liu(柳强). High-contrast imaging based on wavefront shaping to improve low signal-to-noise ratio photoacoustic signals using superpixel method[J]. Chin. Phys. B, 2020, 29(3): 34301-034301.

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High-contrast imaging based on wavefront shaping to improve low signal-to-noise ratio photoacoustic signals using superpixel method

High-contrast imaging based on wavefront shaping to improve low signal-to-noise ratio photoacoustic signals using superpixel method

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