Journal of Innovative Optical Health Sciences, Volume. 18, Issue 1, 2550007(2025)

Multi-bandwidth reconstruction for photoacoustic tomography using cascade U-net

Zezheng Qin1,3、§, Lingyu Ma1,3、§, Zhigang Lei1,3,4, Yiming Ma1,2,3, Weiwei Fu5,6、*, and Mingjian Sun1,2,3、**
Author Affiliations
  • 1School of Astronautics, Harbin Institute of Technology, Harbin 150000, P. R. China
  • 2School of Information Science and Engineering, Harbin Institute of Technology, Weihai 264200, P. R. China
  • 3Harbin Institute of Technology Suzhou Research Institute, Suzhou 215000, P. R. China
  • 4WEGO Holding Co., Ltd., Weihai 264209, P. R. China
  • 5School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine University of Science and Technology of China, Hefei, Anhui, P. R. China
  • 6Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, Jiangsu, P. R. China
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    Photoacoustic imaging (PAI) employs short laser pulses to excite absorbing materials, producing ultrasonic waves spanning a broad spectrum of frequencies. These ultrasonic waves are captured surrounding the sample and utilized to reconstruct the initial pressure distribution tomographically. Despite the wide spectral range of the laser-generated photoacoustic signal, an individual transducer can only capture a limited segment of the signal due to its constrained bandwidth. Herein, we have developed a multi-bandwidth ring array photoacoustic computed tomography (PACT) system, incorporating a probe with two semi-ring arrays: one for high frequency and the other for low frequency. Utilizing the two semi-ring array PAIs, we have devised a specialized deep learning model, comprising two serially connected U-net architectures, to autonomously generate multi-bandwidth full-view PAIs. Preliminary results from simulations and in vivo experiments illustrate the system’s robust multi-bandwidth imaging capabilities, achieving an excellent PSNR of 34.78 dB and a structural similarity index measure (SSIM) of 0.94 in the high-frequency reconstruction of complex mouse abdominal structures. This innovative PACT system is notable for its capability to seamlessly acquire multi-bandwidth full-view PAIs, thereby advancing the application of PAI technology in the biomedical domain.

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    Zezheng Qin, Lingyu Ma, Zhigang Lei, Yiming Ma, Weiwei Fu, Mingjian Sun. Multi-bandwidth reconstruction for photoacoustic tomography using cascade U-net[J]. Journal of Innovative Optical Health Sciences, 2025, 18(1): 2550007

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    Paper Information

    Category: Research Articles

    Received: Aug. 21, 2024

    Accepted: Oct. 18, 2024

    Published Online: Feb. 21, 2025

    The Author Email: Fu Weiwei (fuww@sibet.ac.cn), Sun Mingjian (sunmingjian@hit.edu.cn)

    DOI:10.1142/S1793545825500075

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