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 uti...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.展开更多
基金supported by the National Key R&D Program of China[Grant No.2023YFF0713600]the National Natural Science Foundation of China[Grant No.62275062]+2 种基金the Project of Shandong Innovation and Startup Community of High-end Medical Apparatus and Instruments[Grant No.2021-SGTTXM-005]the Shandong Province Technology Innovation Guidance Plan(Central Leading Local Science and Technology Development Fund)[Grant No.YDZX2023115]the Taishan Scholar Special Funding Project of Shandong Province,and the Shandong Laboratory of Advanced Biomaterials and Medical Devices in Weihai[Grant No.ZL202402].
文摘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.
