PhotoacousticsPub Date : 2025-05-01DOI: 10.1016/j.pacs.2025.100729
Fangzhou Lin , Shang Gao , Yichuan Tang , Xihan Ma , Ryo Murakami , Ziming Zhang , John D. Obayemi , Winston O. Soboyejo , Haichong K. Zhang
{"title":"Spectroscopic photoacoustic denoising framework using hybrid analytical and data-free learning method","authors":"Fangzhou Lin , Shang Gao , Yichuan Tang , Xihan Ma , Ryo Murakami , Ziming Zhang , John D. Obayemi , Winston O. Soboyejo , Haichong K. Zhang","doi":"10.1016/j.pacs.2025.100729","DOIUrl":"10.1016/j.pacs.2025.100729","url":null,"abstract":"<div><div>Spectroscopic photoacoustic (sPA) imaging uses multiple wavelengths to differentiate and quantify chromophores based on their unique optical absorption spectra. This technique has been widely applied in areas such as vascular mapping, tumor detection, and therapeutic monitoring. However, PA imaging is highly susceptible to noise, leading to a low signal-to-noise ratio (SNR) and compromised image quality. Furthermore, low SNR in spectral data adversely affects spectral unmixing outcomes, hindering accurate quantitative PA imaging. Traditional denoising techniques like frame averaging, though effective in improving SNR, can be impractical for dynamic imaging scenarios due to reduced frame rates. Advanced methods, including learning-based approaches and analytical algorithms, have demonstrated promise but often require extensive training data and parameter tuning. Moreover, spectral information preservation is unclear, limiting their adaptability for clinical usage. Additionally, training data is not always accessible for learning-based methods. In this work, we propose a <u>S</u>pectroscopic <u>P</u>hoto<u>a</u>coustic <u>De</u>noising (SPADE) framework using hybrid analytical and data-free learning method. This framework integrates a data-free learning-based method with an efficient BM3D-based analytical approach while preserving spectral integrity, providing noise reduction, and ensuring that functional information is maintained. The SPADE framework was validated through simulation, phantom, in vivo, and ex vivo studies. These studies demonstrated that SPADE improved image SNR by over 15 <span><math><mi>dB</mi></math></span> in high noise cases and preserved spectral information (R > 0.8), outperforming conventional methods, especially in low SNR conditions. SPADE presents a promising solution for preserving the accuracy of quantitative PA imaging in clinical applications where noise reduction and spectral preservation are critical.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"44 ","pages":"Article 100729"},"PeriodicalIF":7.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143898778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2025-04-18DOI: 10.1016/j.pacs.2025.100725
Wei Li , Xiaoxuan Zhong , Jie Huang , Xue Bai , Yizhi Liang , Linghao Cheng , Long Jin , Hao-Cheng Tang , Yinyan Lai , Bai-Ou Guan
{"title":"Wavelength-time-division multiplexed fiber-optic sensor array for wide-field photoacoustic microscopy","authors":"Wei Li , Xiaoxuan Zhong , Jie Huang , Xue Bai , Yizhi Liang , Linghao Cheng , Long Jin , Hao-Cheng Tang , Yinyan Lai , Bai-Ou Guan","doi":"10.1016/j.pacs.2025.100725","DOIUrl":"10.1016/j.pacs.2025.100725","url":null,"abstract":"<div><div>Photoacoustic microscopy (PAM) faces a fundamental trade-off between detection sensitivity and field of view (FOV). While optical ultrasound sensors offer high-sensitivity unfocused detection, implementing multichannel detection remains challenging. Here, we present a wavelength-time-division multiplexed (WTDM) fiber-optic sensor array that assigns distinct wavelengths to individual sensors and employs varying-length delay fibers for temporal separation, enabling efficient multichannel detection through a single photodetector. Using a 4-element sensor array, we achieved an expanded FOV of 5 × 8 mm² while maintaining high temporal resolution (160 kHz A-line rate, 0.25 Hz frame rate) and microscopic spatial resolution (10.7 μm). The system's capabilities were validated through comparative monitoring of cerebral and intestinal hemodynamics in mice during hypercapnia challenge, revealing distinct temporal patterns with notably delayed recovery in cerebral vascular response compared to intestinal vasculature. This WTDM approach establishes a promising platform for large-field, high-speed photoacoustic imaging in biomedical applications.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100725"},"PeriodicalIF":7.1,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2025-04-18DOI: 10.1016/j.pacs.2025.100723
Shuang Li , Qian Chen , Chulhong Kim , Seongwook Choi , Yibing Wang , Yu Zhang , Changhui Li
{"title":"Zero-Shot Artifact2Artifact: Self-incentive artifact removal for photoacoustic imaging","authors":"Shuang Li , Qian Chen , Chulhong Kim , Seongwook Choi , Yibing Wang , Yu Zhang , Changhui Li","doi":"10.1016/j.pacs.2025.100723","DOIUrl":"10.1016/j.pacs.2025.100723","url":null,"abstract":"<div><div>Three-dimensional (3D) photoacoustic imaging (PAI) with detector arrays has shown superior imaging capabilities in biomedical applications. However, the quality of 3D PAI is often degraded due to reconstruction artifacts caused by sparse detectors. Existing iterative or deep learning-based methods are either time-consuming or require large training datasets, limiting their practical application. Here, we propose Zero-Shot Artifact2Artifact (ZS-A2A), a zero-shot self-supervised artifact removal method based on a super-lightweight network, which leverages the fact that patterns of artifacts are more sensitive to sensor data loss. By randomly dropping acquired PA data, it spontaneously generates subset data to reconstruct images, which in turn stimulates the network to learn the artifact patterns in reconstruction results, thus enabling zero-shot artifact removal. This approach requires neither training data nor prior knowledge of the artifacts, making it suitable for artifact removal for arbitrary detector array configurations. We validated ZS-A2A in both simulation study and <span><math><mrow><mi>i</mi><mi>n</mi><mspace></mspace><mi>v</mi><mi>i</mi><mi>v</mi><mi>o</mi></mrow></math></span> animal experiments. Results demonstrate that ZS-A2A achieves high performance compared to existing zero-shot methods.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100723"},"PeriodicalIF":7.1,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143865033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2025-04-10DOI: 10.1016/j.pacs.2025.100724
Ujjal Mandal , Navroop Singh , Kartikay Singh , Vinit Nana Hagone , Jagpreet Singh , Anshu S. Anand , Ben T. Cox , Ratan K. Saha
{"title":"Efficient implementations of a Born Series for computing photoacoustic field from a collection of erythrocytes","authors":"Ujjal Mandal , Navroop Singh , Kartikay Singh , Vinit Nana Hagone , Jagpreet Singh , Anshu S. Anand , Ben T. Cox , Ratan K. Saha","doi":"10.1016/j.pacs.2025.100724","DOIUrl":"10.1016/j.pacs.2025.100724","url":null,"abstract":"<div><div>Numerical implementation of the Born series procedure is a computationally expensive task. Various computational strategies have been adopted and tested in this work for fast execution of the convergent Born series (CBS) algorithm for solving inhomogeneous Helmholtz equation in the context of biomedical photoacoustics (PAs). The PA field estimated by the CBS method for a solid circular disk approximating a red blood cell exhibits excellent agreement with the analytical result. It is observed that PA pressure map for a collection of red blood cells (mimicking blood) retains the signature of multiple scattering of acoustic waves by the acoustically inhomogeneous PA sources. The developed numerical tool realizing the CBS algorithm compatible with systems having multiple graphics processing units can be utilized further for accurate and fast estimation of the PA field for large tissue media.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100724"},"PeriodicalIF":7.1,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2025-04-04DOI: 10.1016/j.pacs.2025.100722
Mengtao Han , Zhiwei Xue , Mengchen Yu , Nanlin You , Yaguang Ren , Zhiqiang Xu , Zhifeng Wu , Yiming He , Zonghai Sheng , Chengbo Liu , Donghai Wang , Jingqin Chen
{"title":"Rapid synergistic thrombolysis of ischemic stroke guided by high-resolution and high-speed photoacoustic cerebrovascular imaging","authors":"Mengtao Han , Zhiwei Xue , Mengchen Yu , Nanlin You , Yaguang Ren , Zhiqiang Xu , Zhifeng Wu , Yiming He , Zonghai Sheng , Chengbo Liu , Donghai Wang , Jingqin Chen","doi":"10.1016/j.pacs.2025.100722","DOIUrl":"10.1016/j.pacs.2025.100722","url":null,"abstract":"<div><div>Thrombosis is the major cause of ischemic stroke and poses a serious health burden globally. Current thrombolytic strategies, such as systematic administration of recombinant human tissue plasminogen activator (rt-PA), are challenged by limited thrombolysis efficiency due to low targeting ability and a short plasma half-life. Here, we report a rapid synergistic strategy that integrates sonothrombolysis and rt-PA mediated pharmacological thrombolysis to achieve accurate and efficient treatment of ischemic stroke. The strategy (PLPA@PFP) uses a platelet-biomimetic membrane as a carrier to deliver both perfluoropentane (PFP) and rt-PA, prolonging half-life and effectively accumulating at the thrombus within 0.5 hours. Upon exposure to focused ultrasound, PFP-based cavitation effects significantly enhance thrombus breakdown and rt-PA penetration, enabling synergistic sono/pharmacological thrombolysis both <em>in vitro</em> and <em>in vivo</em>. High-resolution photoacoustic (PA) imaging provides direct assessment of vascular reperfusion following therapeutic intervention in a murine model of ischemic stroke, offering important guidance for clinical treatment.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100722"},"PeriodicalIF":7.1,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Photoacoustic microscopy for studying mechano-transduction response in resistance vessels","authors":"Juliana Benavides-Lara , Dianicha Santana Nunez , Mohsin Zafar , Janette Garcia Campos , Shuangping Zhao , Yulia A. Komarova , Kamran Avanaki","doi":"10.1016/j.pacs.2025.100713","DOIUrl":"10.1016/j.pacs.2025.100713","url":null,"abstract":"<div><div>Cardiovascular diseases are on the rise, presenting a significant global health challenge. The development of methods enabling the detection of alterations in vascular networks is critical for the early diagnosis and treatment of cardiovascular diseases, including peripheral arterial disease, stroke, and hypertension. Here, we use photoacoustic microscopy (PAM), a non-invasive imaging technique, to monitor morphological changes within the skin vessels of chronically hypertensive mice deficient in the mechanosensitive channel Piezo1 in endothelial cells (Piezo1 EC-KO). We show that, compared to control mice (Piezo1 flox/flox), Piezo1 EC-KO mice are characterized by poorer tissue perfusion due to a vasoconstriction of resistance arterioles. We also show the effect of administration of pharmacological agents on vessel vasodilation in the skin of Piezo1-deficient mice and control mice, identifying quantitative differences between the two groups. These results advance our understanding of vascular mechanodynamics and offer potential implications for developing targeted treatments for hypertensive disorders.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100713"},"PeriodicalIF":7.1,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2025-04-04DOI: 10.1016/j.pacs.2025.100714
Wende Dong , Yanli Zhang , Luqi Hu , Songde Liu , Chao Tian
{"title":"Image restoration for ring-array photoacoustic tomography based on an attention mechanism driven conditional generative adversarial network","authors":"Wende Dong , Yanli Zhang , Luqi Hu , Songde Liu , Chao Tian","doi":"10.1016/j.pacs.2025.100714","DOIUrl":"10.1016/j.pacs.2025.100714","url":null,"abstract":"<div><div>Ring-Array photoacoustic tomography (PAT) systems have shown great promise in non-invasive biomedical imaging. However, images produced by these systems often suffer from quality degradation due to non-ideal imaging conditions, with common issues including blurring and streak artifacts. To address these challenges, we propose an image restoration method based on a conditional generative adversarial network (CGAN) framework. Our approach integrates a hybrid spatial and channel attention mechanism within a Residual Shifted Window Transformer Module (RSTM) to enhance the generator’s performance. Additionally, we have developed a comprehensive loss function to balance pixel-level accuracy, detail preservation, and perceptual quality. We further incorporate a gamma correction module to enhance the contrast of the network’s output. Experimental results on both simulated and in vivo data demonstrate that our method significantly improves resolution and restores overall image quality.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100714"},"PeriodicalIF":7.1,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PhotoacousticsPub Date : 2025-04-01DOI: 10.1016/j.pacs.2025.100721
Jie Zhou , Mengchuan Ou , Bo Yuan , Binzi Yan , Xichuan Wang , Shuaiqi Qiao , Yijie Huang , Lian Feng , Lin Huang , Yan Luo
{"title":"Dual-modality ultrasound/photoacoustic tomography for mapping tissue oxygen saturation distribution in intestinal strangulation","authors":"Jie Zhou , Mengchuan Ou , Bo Yuan , Binzi Yan , Xichuan Wang , Shuaiqi Qiao , Yijie Huang , Lian Feng , Lin Huang , Yan Luo","doi":"10.1016/j.pacs.2025.100721","DOIUrl":"10.1016/j.pacs.2025.100721","url":null,"abstract":"<div><div>The strangulation of intestinal obstruction (IO) presents challenges in the assessment of disease progression and surgical decision-making. Intraoperatively, an accurate evaluation of the status of the IO is critical for determining the extent of surgical resection. Dual-modality ultrasound/photoacoustic tomography (US/PAT) imaging has the potential to provide spatially resolved tissue oxygen saturation (SO₂), serving as a valuable marker for IO diagnosis. In this study, US/PAT was utilized for imaging rat models of IO, with the data used for reconstruction, statistical analysis, and distribution evaluation. Results showed that SO₂ decreased with increasing strangulation severity. Notably, the kurtosis and skewness of the SO₂ distribution outperformed SO₂ itself in diagnosis, as they more effectively capture the heterogeneity of SO₂ distribution. Kurtosis reflects distribution concentration, while skewness measures asymmetry, both achieving areas under the receiver operating characteristic curve (AUROC) of 0.969. In conclusion, US/PAT offers a rapid and convenient method for assessing strangulation in IO.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100721"},"PeriodicalIF":7.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786285","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}
PhotoacousticsPub Date : 2025-04-01DOI: 10.1016/j.pacs.2025.100720
Yameng Zhang , Hua Tian , Min Wan , Shihao Tang , Ziyun Ding , Wei Huang , Yamin Yang , Weitao Li
{"title":"High resolution photoacoustic vascular image reconstruction through the fast residual dense generative adversarial network","authors":"Yameng Zhang , Hua Tian , Min Wan , Shihao Tang , Ziyun Ding , Wei Huang , Yamin Yang , Weitao Li","doi":"10.1016/j.pacs.2025.100720","DOIUrl":"10.1016/j.pacs.2025.100720","url":null,"abstract":"<div><div>Photoacoustic imaging is a powerful technique that provides high-resolution, deep tissue imaging. However, the time-intensive nature of photoacoustic microscopy (PAM) poses a significant challenge, especially when high-resolution images are required for real-time applications. In this study, we proposed an optimized Fast Residual Dense Generative Adversarial Network (FRDGAN) for high-quality PAM reconstruction. Through dataset validation on mouse ear vasculature, FRDGAN demonstrated superior performance in image quality, background noise suppression, and computational efficiency across multiple down-sampling scales (×4, ×8) compared to classical methods. Furthermore, in the in vivo experiments of mouse cerebral vasculature, FRDGAN achieves the improvement of 2.24 dB and 0.0255 in peak signal-to-noise ratio and structural similarity metrics in contrast to SRGAN, respectively. Our FRDGAN method provides a promising solution for fast, high-quality PAM microvascular imaging in biomedical research.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100720"},"PeriodicalIF":7.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783528","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}
PhotoacousticsPub Date : 2025-04-01DOI: 10.1016/j.pacs.2025.100704
Zhijin Shang , Hongpeng Wu , Gang Wang , Ruyue Cui , Biao Li , Ting Gong , Guqing Guo , Xuanbing Qiu , Chuanliang Li , Lei Dong
{"title":"Corrigendum to “Robust and compact light-induced thermoelastic sensor for atmospheric methane detection based on a vacuum-sealed subminiature tuning fork” [Photoacoustics 42 (2025) 100691]","authors":"Zhijin Shang , Hongpeng Wu , Gang Wang , Ruyue Cui , Biao Li , Ting Gong , Guqing Guo , Xuanbing Qiu , Chuanliang Li , Lei Dong","doi":"10.1016/j.pacs.2025.100704","DOIUrl":"10.1016/j.pacs.2025.100704","url":null,"abstract":"","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100704"},"PeriodicalIF":7.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}