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Multi-gas photoacoustic sensor using multi-mode demodulation
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-01-15 DOI: 10.1016/j.pacs.2025.100688
Mu Liang , Mingqi Jiao , Mingyang Feng , Pengbo Chen , Yang Gao , Yingying Qiao , Lei Li , Chongxin Shan
Modulation technology is the necessary means for generating periodic acoustic waves in photoacoustic gas detection, primarily including intensity modulation and wavelength modulation. In multi-gas detection, when multiple lasers employ the same modulation technique, current technologies include time-division multiplexing (TDM) for measurements at different times and frequency-division multiplexing (FDM) for simultaneous measurements; when multiple lasers employ different modulation techniques, the only available technology is TDM with measurements conducted at different times, and whether simultaneous measurement can be achieved has not yet been verified. We propose, for the first time, a multi-gas photoacoustic sensor using multi-mode demodulation. This sensor employs multi-mode frequency division multiplexing (MMFDM) technology to separate and demodulate the multi-mode photoacoustic signal, thereby enabling the simultaneous measurement of multiple gases under different modulation techniques. To demonstrate the feasibility of this method, we used SO2 and HF, the SF6 decomposition products in gas-insulated switchgear (GIS), as target gases and simultaneously detected their mixture using different modulation modes. Experimental results show that when the frequency difference is 10 Hz, multi-mode photoacoustic signal can be successfully separated, with the minimum detection limits for SO2 and HF reaching 117.9 ppb and 65.5 ppb, respectively. This study is the first to validate the separability of multi-mode photoacoustic signal and achieve multi-gas simultaneous measurement under multi-mode modulation, thereby eliminating the limitations of modulation mode in simultaneous photoacoustic multi-gas detection.
{"title":"Multi-gas photoacoustic sensor using multi-mode demodulation","authors":"Mu Liang ,&nbsp;Mingqi Jiao ,&nbsp;Mingyang Feng ,&nbsp;Pengbo Chen ,&nbsp;Yang Gao ,&nbsp;Yingying Qiao ,&nbsp;Lei Li ,&nbsp;Chongxin Shan","doi":"10.1016/j.pacs.2025.100688","DOIUrl":"10.1016/j.pacs.2025.100688","url":null,"abstract":"<div><div>Modulation technology is the necessary means for generating periodic acoustic waves in photoacoustic gas detection, primarily including intensity modulation and wavelength modulation. In multi-gas detection, when multiple lasers employ the same modulation technique, current technologies include time-division multiplexing (TDM) for measurements at different times and frequency-division multiplexing (FDM) for simultaneous measurements; when multiple lasers employ different modulation techniques, the only available technology is TDM with measurements conducted at different times, and whether simultaneous measurement can be achieved has not yet been verified. We propose, for the first time, a multi-gas photoacoustic sensor using multi-mode demodulation. This sensor employs multi-mode frequency division multiplexing (MMFDM) technology to separate and demodulate the multi-mode photoacoustic signal, thereby enabling the simultaneous measurement of multiple gases under different modulation techniques. To demonstrate the feasibility of this method, we used SO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> and HF, the SF<span><math><msub><mrow></mrow><mrow><mn>6</mn></mrow></msub></math></span> decomposition products in gas-insulated switchgear (GIS), as target gases and simultaneously detected their mixture using different modulation modes. Experimental results show that when the frequency difference is 10 Hz, multi-mode photoacoustic signal can be successfully separated, with the minimum detection limits for SO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> and HF reaching 117.9 ppb and 65.5 ppb, respectively. This study is the first to validate the separability of multi-mode photoacoustic signal and achieve multi-gas simultaneous measurement under multi-mode modulation, thereby eliminating the limitations of modulation mode in simultaneous photoacoustic multi-gas detection.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"42 ","pages":"Article 100688"},"PeriodicalIF":7.1,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11787612/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143082268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dual-gas quartz-enhanced photoacoustic spectroscopy sensor exploiting two fiber-combined interband cascade lasers
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-01-13 DOI: 10.1016/j.pacs.2025.100689
Luigi Melchiorre , Francesco Anelli , Giansergio Menduni , Andrea Annunziato , Laurine Bodin , Solenn Cozic , Giovanni Magno , Angelo Sampaolo , Francesco Prudenzano , Vincenzo Spagnolo
In this work, a novel indium fluoride glass 2-input-1-output fiber combiner was designed and fabricated to combine two Interband Cascade Laser (ICL) sources emitting in the mid-infrared wavelength range. To test the combiner performance, a dual-gas quartz-enhanced photoacoustic spectroscopy sensor was demonstrated for the detection of carbon dioxide (CO2) and nitric oxide (NO), employing two fiber-coupled ICLs having central emission wavelengths of 4,234 nm and 5,263 nm, respectively. The laser beams were coupled via the fiber combiner and then focused into a commercial acoustic detection module equipped with an input fiber-port, thus resulting in a plug-and-play sensing system. Tens of ppm-level detection limits at 3σ are achieved for both pollutants with a lock-in integration time (τ) of 0.1 s. Finally, an Allan-Werle analysis demonstrated the stability of the sensor, allowing the achievement of detection limit of 13 ppm and 4 ppm at τ = 10 s for CO2 and NO, respectively.
{"title":"Dual-gas quartz-enhanced photoacoustic spectroscopy sensor exploiting two fiber-combined interband cascade lasers","authors":"Luigi Melchiorre ,&nbsp;Francesco Anelli ,&nbsp;Giansergio Menduni ,&nbsp;Andrea Annunziato ,&nbsp;Laurine Bodin ,&nbsp;Solenn Cozic ,&nbsp;Giovanni Magno ,&nbsp;Angelo Sampaolo ,&nbsp;Francesco Prudenzano ,&nbsp;Vincenzo Spagnolo","doi":"10.1016/j.pacs.2025.100689","DOIUrl":"10.1016/j.pacs.2025.100689","url":null,"abstract":"<div><div>In this work, a novel indium fluoride glass 2-input-1-output fiber combiner was designed and fabricated to combine two Interband Cascade Laser (ICL) sources emitting in the mid-infrared wavelength range. To test the combiner performance, a dual-gas quartz-enhanced photoacoustic spectroscopy sensor was demonstrated for the detection of carbon dioxide (CO<sub>2</sub>) and nitric oxide (NO), employing two fiber-coupled ICLs having central emission wavelengths of 4,234 nm and 5,263 nm, respectively. The laser beams were coupled via the fiber combiner and then focused into a commercial acoustic detection module equipped with an input fiber-port, thus resulting in a plug-and-play sensing system. Tens of ppm-level detection limits at 3σ are achieved for both pollutants with a lock-in integration time (τ) of 0.1 s. Finally, an Allan-Werle analysis demonstrated the stability of the sensor, allowing the achievement of detection limit of 13 ppm and 4 ppm at τ = 10 s for CO<sub>2</sub> and NO, respectively.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"42 ","pages":"Article 100689"},"PeriodicalIF":7.1,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11787027/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143082267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Self-supervised light fluence correction network for photoacoustic tomography based on diffusion equation
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-01-11 DOI: 10.1016/j.pacs.2025.100684
Zhaoyong Liang , Zongxin Mo , Shuangyang Zhang , Long Chen , Danni Wang , Chaobin Hu , Li Qi
Deep learning (DL) shows promise in estimating the absorption coefficient distribution of biological tissue in quantitative photoacoustic tomography (QPAT) imaging, but its application is limited by a lack of ground truth for supervised network training. To address this issue, we propose a DL-based light fluence correction method that only uses the original PAT images for network training. Our self-supervised QPAT network model, which we termed SQPA-Net, introduces light fluence estimation based on diffusion equation to the loss function, and thus guides the model to learn an implicit representation of photoacoustic light transport within tissue. Simulation and small animal imaging experiments demonstrate the effectiveness and efficiency of our method. Compared to current DL-based methods and traditional iterative correction method, the proposed SQPA-Net achieves better light fluence correction results and significantly reduces the processing time.
{"title":"Self-supervised light fluence correction network for photoacoustic tomography based on diffusion equation","authors":"Zhaoyong Liang ,&nbsp;Zongxin Mo ,&nbsp;Shuangyang Zhang ,&nbsp;Long Chen ,&nbsp;Danni Wang ,&nbsp;Chaobin Hu ,&nbsp;Li Qi","doi":"10.1016/j.pacs.2025.100684","DOIUrl":"10.1016/j.pacs.2025.100684","url":null,"abstract":"<div><div>Deep learning (DL) shows promise in estimating the absorption coefficient distribution of biological tissue in quantitative photoacoustic tomography (QPAT) imaging, but its application is limited by a lack of ground truth for supervised network training. To address this issue, we propose a DL-based light fluence correction method that only uses the original PAT images for network training. Our self-supervised QPAT network model, which we termed SQPA-Net, introduces light fluence estimation based on diffusion equation to the loss function, and thus guides the model to learn an implicit representation of photoacoustic light transport within tissue. Simulation and small animal imaging experiments demonstrate the effectiveness and efficiency of our method. Compared to current DL-based methods and traditional iterative correction method, the proposed SQPA-Net achieves better light fluence correction results and significantly reduces the processing time.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"42 ","pages":"Article 100684"},"PeriodicalIF":7.1,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11786910/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143082269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A light-induced thermoelastic spectroscopy using surface mounted device quartz tuning fork
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-01-10 DOI: 10.1016/j.pacs.2025.100686
Shaoqiang Bi, Xinru Zhang, Zhonghai Zhang, Xuan Liu, Lu Qin, Jingqi Shi, Yiyang Zhao, Zongliang Wang
This paper reported on a system for the detection of trace acetylene (C2H2) gas utilizing a surface mounted device quartz tuning fork (SMD QTF) in conjunction with light-induced thermoelastic spectroscopy (LITES) and provided a comparative analysis against a conventional plug-in quartz tuning fork (P-QTF). The SMD QTF is a cost-effective standard instrument featuring a transparent glass shell and smaller size, which eliminates the need for stripping shell in LITES and effectively mitigates oxidation of the QTF as well as drift in resonance frequency. The SMD QTF has almost 2–4 times more Q factor than the conventional bare P-QTF. Experiments demonstrated that the signal amplitude of the SMD-QTF was almost 9 times higher than that of the conventional bare P-QTF. Minimum detection limits (MDLs) of 68.11 ppb@220 s (P-QTF) and 40.39 ppb@200 s (Larger SMD QTF) were obtained for both under the same experimental conditions.
{"title":"A light-induced thermoelastic spectroscopy using surface mounted device quartz tuning fork","authors":"Shaoqiang Bi,&nbsp;Xinru Zhang,&nbsp;Zhonghai Zhang,&nbsp;Xuan Liu,&nbsp;Lu Qin,&nbsp;Jingqi Shi,&nbsp;Yiyang Zhao,&nbsp;Zongliang Wang","doi":"10.1016/j.pacs.2025.100686","DOIUrl":"10.1016/j.pacs.2025.100686","url":null,"abstract":"<div><div>This paper reported on a system for the detection of trace acetylene (C<sub>2</sub>H<sub>2</sub>) gas utilizing a surface mounted device quartz tuning fork (SMD QTF) in conjunction with light-induced thermoelastic spectroscopy (LITES) and provided a comparative analysis against a conventional plug-in quartz tuning fork (P-QTF). The SMD QTF is a cost-effective standard instrument featuring a transparent glass shell and smaller size, which eliminates the need for stripping shell in LITES and effectively mitigates oxidation of the QTF as well as drift in resonance frequency. The SMD QTF has almost 2–4 times more Q factor than the conventional bare P-QTF. Experiments demonstrated that the signal amplitude of the SMD-QTF was almost 9 times higher than that of the conventional bare P-QTF. Minimum detection limits (MDLs) of 68.11 ppb@220 s (P-QTF) and 40.39 ppb@200 s (Larger SMD QTF) were obtained for both under the same experimental conditions.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"42 ","pages":"Article 100686"},"PeriodicalIF":7.1,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143162046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Structure and oxygen saturation recovery of sparse photoacoustic microscopy images by deep learning
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-01-09 DOI: 10.1016/j.pacs.2025.100687
Shuyan Zhang , Jingtan Li , Lin Shen , Zhonghao Zhao , Minjun Lee , Kun Qian , Naidi Sun , Bin Hu
Photoacoustic microscopy (PAM) leverages the photoacoustic effect to provide high-resolution structural and functional imaging. However, achieving high-speed imaging with high spatial resolution remains challenging. To address this, undersampling and deep learning have emerged as common techniques to enhance imaging speed. Yet, existing methods rarely achieve effective recovery of functional images. In this study, we propose Mask-enhanced U-net (MeU-net) for recovering sparsely sampled PAM structural and functional images. The model utilizes dual-channel input, processing photoacoustic data from 532 nm and 558 nm wavelengths. Additionally, we introduce an adaptive vascular attention mask module that focuses on vascular information recovery and design a vessel-specific loss function to enhance restoration accuracy. We simulate data from mouse brain and ear imaging under various levels of sparsity (4 ×, 8 ×, 12 ×) and conduct extensive experiments. The results demonstrate that MeU-net significantly outperforms traditional interpolation methods and other representative models in structural information and oxygen saturation recovery.
{"title":"Structure and oxygen saturation recovery of sparse photoacoustic microscopy images by deep learning","authors":"Shuyan Zhang ,&nbsp;Jingtan Li ,&nbsp;Lin Shen ,&nbsp;Zhonghao Zhao ,&nbsp;Minjun Lee ,&nbsp;Kun Qian ,&nbsp;Naidi Sun ,&nbsp;Bin Hu","doi":"10.1016/j.pacs.2025.100687","DOIUrl":"10.1016/j.pacs.2025.100687","url":null,"abstract":"<div><div>Photoacoustic microscopy (PAM) leverages the photoacoustic effect to provide high-resolution structural and functional imaging. However, achieving high-speed imaging with high spatial resolution remains challenging. To address this, undersampling and deep learning have emerged as common techniques to enhance imaging speed. Yet, existing methods rarely achieve effective recovery of functional images. In this study, we propose Mask-enhanced U-net (MeU-net) for recovering sparsely sampled PAM structural and functional images. The model utilizes dual-channel input, processing photoacoustic data from 532 nm and 558 nm wavelengths. Additionally, we introduce an adaptive vascular attention mask module that focuses on vascular information recovery and design a vessel-specific loss function to enhance restoration accuracy. We simulate data from mouse brain and ear imaging under various levels of sparsity (4 ×, 8 ×, 12 ×) and conduct extensive experiments. The results demonstrate that MeU-net significantly outperforms traditional interpolation methods and other representative models in structural information and oxygen saturation recovery.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"42 ","pages":"Article 100687"},"PeriodicalIF":7.1,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11787619/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143082270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A high sensitive methane QEPAS sensor based on self-designed trapezoidal-head quartz tuning fork and high power diode laser
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2025-01-06 DOI: 10.1016/j.pacs.2025.100683
Hanxu Ma , Yanjun Chen , Shunda Qiao , Ying He , Yufei Ma
A high sensitive methane (CH4) sensor based on quartz-enhanced photoacoustic spectroscopy (QEPAS) using self-designed trapezoidal-head quartz tuning fork (QTF) and high power diode laser is reported for the first time in this paper. The trapezoidal-head QTF with low resonant frequency (f0) of ∼ 9 kHz, serves as the detection element, enabling longer energy accumulation times. A diode laser with an output power of 10 mW is utilized as the excitation source. A Raman fiber amplifier (RFA) is employed to boost the diode laser power to 300 mW to increase the excitation intensity. Acoustic micro-resonators (AmRs) are designed and placed on both sides of the QTF to form an acoustic standing wave cavity, which increases the acoustic wave intensity and enhances the vibration amplitude of the QTF. Additionally, the long-term stability is analyzed by Allan deviation analysis. When the average time of the sensor system is increased to 150 s, the minimum detection limit (MDL) of the CH4-QEPAS sensor system can be improved to 15.5 ppb.
{"title":"A high sensitive methane QEPAS sensor based on self-designed trapezoidal-head quartz tuning fork and high power diode laser","authors":"Hanxu Ma ,&nbsp;Yanjun Chen ,&nbsp;Shunda Qiao ,&nbsp;Ying He ,&nbsp;Yufei Ma","doi":"10.1016/j.pacs.2025.100683","DOIUrl":"10.1016/j.pacs.2025.100683","url":null,"abstract":"<div><div>A high sensitive methane (CH<sub>4</sub>) sensor based on quartz-enhanced photoacoustic spectroscopy (QEPAS) using self-designed trapezoidal-head quartz tuning fork (QTF) and high power diode laser is reported for the first time in this paper. The trapezoidal-head QTF with low resonant frequency (<em>f</em><sub><em>0</em></sub>) of ∼ 9 kHz, serves as the detection element, enabling longer energy accumulation times. A diode laser with an output power of 10 mW is utilized as the excitation source. A Raman fiber amplifier (RFA) is employed to boost the diode laser power to 300 mW to increase the excitation intensity. Acoustic micro-resonators (AmRs) are designed and placed on both sides of the QTF to form an acoustic standing wave cavity, which increases the acoustic wave intensity and enhances the vibration amplitude of the QTF. Additionally, the long-term stability is analyzed by Allan deviation analysis. When the average time of the sensor system is increased to 150 s, the minimum detection limit (MDL) of the CH<sub>4</sub>-QEPAS sensor system can be improved to 15.5 ppb.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"42 ","pages":"Article 100683"},"PeriodicalIF":7.1,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11780171/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143082266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ultra-sparse reconstruction for photoacoustic tomography: Sinogram domain prior-guided method exploiting enhanced score-based diffusion model 光声断层成像的超稀疏重建:利用增强分数扩散模型的Sinogram domain prior-guided method
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2024-11-27 DOI: 10.1016/j.pacs.2024.100670
Zilong Li , Jiabin Lin , Yiguang Wang, Jiahong Li, Yubin Cao, Xuan Liu, Wenbo Wan, Qiegen Liu, Xianlin Song
Photoacoustic tomography, a novel non-invasive imaging modality, combines the principles of optical and acoustic imaging for use in biomedical applications. In scenarios where photoacoustic signal acquisition is insufficient due to sparse-view sampling, conventional direct reconstruction methods significantly degrade image resolution and generate numerous artifacts. To mitigate these constraints, a novel sinogram-domain priors guided extremely sparse-view reconstruction method for photoacoustic tomography boosted by enhanced diffusion model is proposed. The model learns prior information from the data distribution of sinograms under full-ring, 512-projections. In iterative reconstruction, the prior information serves as a constraint in least-squares optimization, facilitating convergence towards more plausible solutions. The performance of the method is evaluated using blood vessel simulation, phantoms, and in vivo experimental data. Subsequently, the transformation of the reconstructed sinograms into the image domain is achieved through the delay-and-sum method, enabling a thorough assessment of the proposed method. The results show that the proposed method demonstrates superior performance compared to the U-Net method, yielding images of markedly higher quality. Notably, for in vivo data under 32 projections, the sinogram structural similarity improved by ∼21 % over U-Net, and the image structural similarity increased by ∼51 % and ∼84 % compared to U-Net and delay-and-sum methods, respectively. The reconstruction in the sinogram domain for photoacoustic tomography enhances sparse-view imaging capabilities, potentially expanding the applications of photoacoustic tomography.
光声断层成像是一种新型的非侵入性成像方式,结合了光学和声学成像的原理,用于生物医学应用。在稀疏视图采样导致光声信号采集不足的情况下,传统的直接重建方法会显著降低图像分辨率并产生大量伪影。为了消除这些限制,提出了一种基于增强扩散模型的图像域先验引导的超稀疏图像光声层析成像重建方法。该模型从全环512投影下的图数据分布中学习先验信息。在迭代重建中,先验信息作为最小二乘优化的约束,促进收敛到更合理的解。该方法的性能通过血管模拟、模拟和体内实验数据进行了评估。随后,通过延迟和方法将重构的正弦图转换到图像域,从而可以对所提出的方法进行彻底的评估。结果表明,与U-Net方法相比,该方法性能优越,生成的图像质量明显提高。值得注意的是,对于32个投影下的体内数据,与U-Net方法相比,sinogram structure similarity提高了~ 21 %,而与U-Net方法和delay-and-sum方法相比,图像结构similarity分别提高了~ 51 %和~ 84 %。光声层析成像在正弦图域的重建增强了稀疏视图成像能力,潜在地扩展了光声层析成像的应用。
{"title":"Ultra-sparse reconstruction for photoacoustic tomography: Sinogram domain prior-guided method exploiting enhanced score-based diffusion model","authors":"Zilong Li ,&nbsp;Jiabin Lin ,&nbsp;Yiguang Wang,&nbsp;Jiahong Li,&nbsp;Yubin Cao,&nbsp;Xuan Liu,&nbsp;Wenbo Wan,&nbsp;Qiegen Liu,&nbsp;Xianlin Song","doi":"10.1016/j.pacs.2024.100670","DOIUrl":"10.1016/j.pacs.2024.100670","url":null,"abstract":"<div><div>Photoacoustic tomography, a novel non-invasive imaging modality, combines the principles of optical and acoustic imaging for use in biomedical applications. In scenarios where photoacoustic signal acquisition is insufficient due to sparse-view sampling, conventional direct reconstruction methods significantly degrade image resolution and generate numerous artifacts. To mitigate these constraints, a novel sinogram-domain priors guided extremely sparse-view reconstruction method for photoacoustic tomography boosted by enhanced diffusion model is proposed. The model learns prior information from the data distribution of sinograms under full-ring, 512-projections. In iterative reconstruction, the prior information serves as a constraint in least-squares optimization, facilitating convergence towards more plausible solutions. The performance of the method is evaluated using blood vessel simulation, phantoms, and <em>in vivo</em> experimental data. Subsequently, the transformation of the reconstructed sinograms into the image domain is achieved through the delay-and-sum method, enabling a thorough assessment of the proposed method. The results show that the proposed method demonstrates superior performance compared to the U-Net method, yielding images of markedly higher quality. Notably, for <em>in vivo</em> data under 32 projections, the sinogram structural similarity improved by ∼21 % over U-Net, and the image structural similarity increased by ∼51 % and ∼84 % compared to U-Net and delay-and-sum methods, respectively. The reconstruction in the sinogram domain for photoacoustic tomography enhances sparse-view imaging capabilities, potentially expanding the applications of photoacoustic tomography.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"41 ","pages":"Article 100670"},"PeriodicalIF":7.1,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optoacoustic lenses for lateral sub-optical resolution elasticity imaging 用于横向亚光学分辨率弹性成像的光声透镜
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2024-11-16 DOI: 10.1016/j.pacs.2024.100663
Mengting Yao, Rafael Fuentes-Domínguez, Salvatore La Cavera III, Fernando Pérez-Cota, Richard J. Smith, Matt Clark
In this paper, we demonstrate for the first time the focusing of gigahertz coherent phonon pulses propagating in water using picosecond ultrasonics and Brillouin light scattering. We achieve this by using planar Fresnel zone plate and concave lenses with different focal lengths. Pump light illuminating the optoacoustic lens generates a focusing acoustic field, and Brillouin scattered probe light allows the acoustic field to be continuously monitored over time. Agreement of the experiment with a numerical model suggests that we can generate a focused acoustic beam down to 250 nm. A clear focusing effect is observed experimentally as a modulation of the envelope of the time-resolved Brillouin scattering (TRBS) signal. These findings are a crucial step toward their application in high-resolution acoustic microscopy. This work experimentally demonstrates a method to narrow the lateral size of picosecond laser-generated phonon fields in an aqueous environment, making it well-suited for 3D imaging applications in biological systems using TRBS.
在本文中,我们首次展示了利用皮秒超声波和布里渊光散射对在水中传播的千兆赫相干声子脉冲进行聚焦。我们通过使用不同焦距的平面菲涅尔区板和凹透镜来实现这一目的。照亮光声透镜的泵浦光产生聚焦声场,布里渊散射探针光可对声场进行长时间连续监测。实验结果与数值模型一致,表明我们可以产生低至 ∼250 nm 的聚焦声束。实验观察到了明显的聚焦效应,即时间分辨布里渊散射(TRBS)信号包络线的调制。这些发现是将其应用于高分辨率声学显微镜的关键一步。这项工作通过实验证明了一种在水环境中缩小皮秒激光产生的声子场横向尺寸的方法,使其非常适合利用 TRBS 在生物系统中进行三维成像应用。
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引用次数: 0
Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons 利用光声反向信标对声速分布进行横截面成像
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2024-11-14 DOI: 10.1016/j.pacs.2024.100666
Yang Wang , Danni Wang , Liting Zhong , Yi Zhou , Qing Wang , Wufan Chen , Li Qi
Photoacoustic tomography (PAT) enables non-invasive cross-sectional imaging of biological tissues, but it fails to map the spatial variation of speed-of-sound (SOS) within tissues. While SOS is intimately linked to density and elastic modulus of tissues, the imaging of SOS distribution serves as a complementary imaging modality to PAT. Moreover, an accurate SOS map can be leveraged to correct for PAT image degradation arising from acoustic heterogeneities. Herein, we propose a method for SOS imaging using scanned photoacoustic beacons excited by short laser pulse with inversion reconstruction. Our method is based on photoacoustic reversal beacons (PRBs), which are small light-absorbing targets with strong photoacoustic contrast. We excite and scan a number of PRBs positioned at the periphery of the target, and the generated photoacoustic waves propagate through the target from various directions, thereby achieve spatial sampling of the internal SOS. By picking up the PRB signal using a graph-based dynamic programing algorithm, we formulate a linear inverse model for pixel-wise SOS reconstruction and solve it with iterative optimization technique. We validate the feasibility of the proposed method through simulations, phantoms, and ex vivo biological tissue tests. Experimental results demonstrate that our approach can achieve accurate reconstruction of SOS distribution. Leveraging the obtained SOS map, we further demonstrate significantly enhanced PAT image reconstruction with acoustic correction.
光声断层扫描(PAT)可对生物组织进行无创横截面成像,但无法绘制组织内声速(SOS)的空间变化图。虽然 SOS 与组织的密度和弹性模量密切相关,但 SOS 分布成像可作为 PAT 的补充成像方式。此外,精确的 SOS 地图可用于校正声学异质性导致的 PAT 图像质量下降。在此,我们提出了一种利用短激光脉冲激发的扫描光声信标进行反转重建的 SOS 成像方法。我们的方法基于光声反向信标(PRBs),这是一种具有强光声对比度的小型光吸收目标。我们激发并扫描位于目标外围的多个 PRB,产生的光声波从不同方向穿过目标,从而实现对内部 SOS 的空间采样。通过使用基于图的动态编程算法拾取 PRB 信号,我们建立了像素级 SOS 重建的线性逆模型,并使用迭代优化技术对其进行求解。我们通过模拟、模型和活体生物组织测试验证了所提方法的可行性。实验结果表明,我们的方法可以实现 SOS 分布的精确重建。利用获得的 SOS 地图,我们进一步展示了声学校正后显著增强的 PAT 图像重建。
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引用次数: 0
Quantitative pharmacodynamics functional evaluation of Chinese medicine Qizhu formula in mice with dynamic near-infrared photoacoustic imaging 利用动态近红外光声成像技术对中药祁竹方进行小鼠药效学功能定量评价
IF 7.1 1区 医学 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2024-11-14 DOI: 10.1016/j.pacs.2024.100667
Qing-Juan Wu , Lan-Yu Chen , Quan-Mei Sun , Ning Wang , Dong Han , Wen-Liang Lv

Background & Aims

Effective anti-fibrotic drugs and new non-invasive evaluation methods for liver fibrosis (LF) are urgently needed. Our study aimed to evaluate the histological effects of the Qizhu (QZ) formula on LF and to explore a non-invasive Near-infrared photoacoustic imaging (NIR-PAI) kinetic model for liver function detection and pharmacodynamic evaluation.

Methods

C57BL/6 J mice were randomly divided into six groups (n=6). An LF model was induced by CCl4 for 8 weeks, followed by an 8-week treatment period. Histological and serological parameters were assessed, and indocyanine green (ICG) metabolism (maximum peak time [Tmax] and half-life [T1/2]) was monitored by NIR-PAI. Spearman correlation analysis was conducted to evaluate correlations.

Results & Conclusions

Histological and serological results confirmed the anti-fibrotic effects of QZ. NIR-PAI kinetic parameters indicated that QZ shortened the Tmax and T1/2 of ICG. There were good correlations between ICG metabolism and liver histopathology. The non-invasive NIR-PAI kinetic model shows potential in liver function detection and pharmacodynamic evaluation.
背景& 目的肝纤维化急需有效的抗纤维化药物和新的无创评价方法。我们的研究旨在评估芪珠方对肝纤维化的组织学影响,并探索一种用于肝功能检测和药效学评价的无创近红外光声成像动力学模型。用 CCl4 诱导 LF 模型 8 周,然后进行为期 8 周的治疗。评估组织学和血清学参数,并通过近红外-PAI监测吲哚菁绿(ICG)的代谢(最大峰值时间 [Tmax] 和半衰期 [T1/2])。结果与amp;结论组织学和血清学结果证实了 QZ 的抗纤维化作用。NIR-PAI 动力学参数表明,QZ 缩短了 ICG 的 Tmax 和 T1/2。ICG 代谢与肝组织病理学之间存在良好的相关性。无创近红外-PAI动力学模型显示了在肝功能检测和药效学评估方面的潜力。
{"title":"Quantitative pharmacodynamics functional evaluation of Chinese medicine Qizhu formula in mice with dynamic near-infrared photoacoustic imaging","authors":"Qing-Juan Wu ,&nbsp;Lan-Yu Chen ,&nbsp;Quan-Mei Sun ,&nbsp;Ning Wang ,&nbsp;Dong Han ,&nbsp;Wen-Liang Lv","doi":"10.1016/j.pacs.2024.100667","DOIUrl":"10.1016/j.pacs.2024.100667","url":null,"abstract":"<div><h3>Background &amp; Aims</h3><div>Effective anti-fibrotic drugs and new non-invasive evaluation methods for liver fibrosis (LF) are urgently needed. Our study aimed to evaluate the histological effects of the Qizhu (QZ) formula on LF and to explore a non-invasive Near-infrared photoacoustic imaging (NIR-PAI) kinetic model for liver function detection and pharmacodynamic evaluation.</div></div><div><h3>Methods</h3><div>C57BL/6 J mice were randomly divided into six groups (n=6). An LF model was induced by CCl<sub>4</sub> for 8 weeks, followed by an 8-week treatment period. Histological and serological parameters were assessed, and indocyanine green (ICG) metabolism (maximum peak time [T<sub>max</sub>] and half-life [T<sub>1/2</sub>]) was monitored by NIR-PAI. Spearman correlation analysis was conducted to evaluate correlations.</div></div><div><h3>Results &amp; Conclusions</h3><div>Histological and serological results confirmed the anti-fibrotic effects of QZ. NIR-PAI kinetic parameters indicated that QZ shortened the T<sub>max</sub> and T<sub>1/2</sub> of ICG. There were good correlations between ICG metabolism and liver histopathology. The non-invasive NIR-PAI kinetic model shows potential in liver function detection and pharmacodynamic evaluation.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"41 ","pages":"Article 100667"},"PeriodicalIF":7.1,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Photoacoustics
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