Multi-bandwidth reconstruction for photoacoustic tomography using cascade U-net
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...
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| Format: | Article |
| Language: | English |
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World Scientific Publishing
2025-01-01
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| Series: | Journal of Innovative Optical Health Sciences |
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| Online Access: | https://www.worldscientific.com/doi/10.1142/S1793545825500075 |
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| _version_ | 1832585090568290304 |
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| author | Zezheng Qin Lingyu Ma Zhigang Lei Yiming Ma Weiwei Fu Mingjian Sun |
| author_facet | Zezheng Qin Lingyu Ma Zhigang Lei Yiming Ma Weiwei Fu Mingjian Sun |
| author_sort | Zezheng Qin |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b13e5784a43a4dbc98161e3db1cc07c6 |
| institution | Kabale University |
| issn | 1793-5458 1793-7205 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | World Scientific Publishing |
| record_format | Article |
| series | Journal of Innovative Optical Health Sciences |
| spelling | doaj-art-b13e5784a43a4dbc98161e3db1cc07c62025-01-27T05:49:52ZengWorld Scientific PublishingJournal of Innovative Optical Health Sciences1793-54581793-72052025-01-01180110.1142/S1793545825500075Multi-bandwidth reconstruction for photoacoustic tomography using cascade U-netZezheng Qin0Lingyu Ma1Zhigang Lei2Yiming Ma3Weiwei Fu4Mingjian Sun5School of Astronautics, Harbin Institute of Technology, Harbin 150000, P. R. ChinaSchool of Astronautics, Harbin Institute of Technology, Harbin 150000, P. R. ChinaSchool of Astronautics, Harbin Institute of Technology, Harbin 150000, P. R. ChinaSchool of Astronautics, Harbin Institute of Technology, Harbin 150000, P. R. ChinaSchool of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine University of Science and Technology of China, Hefei, Anhui, P. R. ChinaSchool of Astronautics, Harbin Institute of Technology, Harbin 150000, P. R. ChinaPhotoacoustic 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.https://www.worldscientific.com/doi/10.1142/S1793545825500075Multi-bandwidth imagingphotoacoustic tomographydual-layer U-netdeep learningchannel fusion |
| spellingShingle | Zezheng Qin Lingyu Ma Zhigang Lei Yiming Ma Weiwei Fu Mingjian Sun Multi-bandwidth reconstruction for photoacoustic tomography using cascade U-net Journal of Innovative Optical Health Sciences Multi-bandwidth imaging photoacoustic tomography dual-layer U-net deep learning channel fusion |
| title | Multi-bandwidth reconstruction for photoacoustic tomography using cascade U-net |
| title_full | Multi-bandwidth reconstruction for photoacoustic tomography using cascade U-net |
| title_fullStr | Multi-bandwidth reconstruction for photoacoustic tomography using cascade U-net |
| title_full_unstemmed | Multi-bandwidth reconstruction for photoacoustic tomography using cascade U-net |
| title_short | Multi-bandwidth reconstruction for photoacoustic tomography using cascade U-net |
| title_sort | multi bandwidth reconstruction for photoacoustic tomography using cascade u net |
| topic | Multi-bandwidth imaging photoacoustic tomography dual-layer U-net deep learning channel fusion |
| url | https://www.worldscientific.com/doi/10.1142/S1793545825500075 |
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