Photoacoustics最新文献_第8页

Limited-view photoacoustic imaging reconstruction via high-quality self-supervised neural representation 基于高质量自监督神经表征的有限视场光声成像重建

IF 7.1 1区医学

Photoacoustics Pub Date : 2025-01-23 DOI: 10.1016/j.pacs.2025.100685

Youshen Xiao , Yuting Shen , Sheng Liao , Bowei Yao , Xiran Cai , Yuyao Zhang , Fei Gao

{"title":"Limited-view photoacoustic imaging reconstruction via high-quality self-supervised neural representation","authors":"Youshen Xiao , Yuting Shen , Sheng Liao , Bowei Yao , Xiran Cai , Yuyao Zhang , Fei Gao","doi":"10.1016/j.pacs.2025.100685","DOIUrl":"10.1016/j.pacs.2025.100685","url":null,"abstract":"<div><div>In practical applications within the human body, it is often challenging to fully encompass the target tissue or organ, necessitating the use of limited-view arrays, which can lead to the loss of crucial information. Addressing the reconstruction of photoacoustic sensor signals in limited-view detection spaces has become a focal point of current research. In this study, we introduce a self-supervised network termed HIgh-quality Self-supervised neural representation (HIS), which tackles the inverse problem of photoacoustic imaging to reconstruct high-quality photoacoustic images from sensor data acquired under limited viewpoints. We regard the desired reconstructed photoacoustic image as an implicit continuous function in 2D image space, viewing the pixels of the image as sparse discrete samples. The HIS’s objective is to learn the continuous function from limited observations by utilizing a fully connected neural network combined with Fourier feature position encoding. By simply minimizing the error between the network’s predicted sensor data and the actual sensor data, HIS is trained to represent the observed continuous model. The results indicate that the proposed HIS model offers superior image reconstruction quality compared to three commonly used methods for photoacoustic image reconstruction.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"42 ","pages":"Article 100685"},"PeriodicalIF":7.1,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143162045","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

Enhanced clinical photoacoustic vascular imaging through a skin localization network and adaptive weighting 通过皮肤定位网络和自适应加权增强临床光声血管成像

IF 7.1 1区医学

Photoacoustics Pub Date : 2025-01-21 DOI: 10.1016/j.pacs.2025.100690

Chuqin Huang , Emily Zheng , Wenhan Zheng , Huijuan Zhang , Yanda Cheng , Xiaoyu Zhang , Varun Shijo , Robert W. Bing , Isabel Komornicki , Linda M. Harris , Ermelinda Bonaccio , Kazuaki Takabe , Emma Zhang , Wenyao Xu , Jun Xia

引用次数: 0

Robust and compact light-induced thermoelastic sensor for atmospheric methane detection based on a vacuum-sealed subminiature tuning fork 基于真空密封微型音叉的大气甲烷检测光致热弹性传感器

IF 7.1 1区医学

Photoacoustics Pub Date : 2025-01-20 DOI: 10.1016/j.pacs.2025.100691

Zhijin Shang , Hongpeng Wu , Gang Wang , Ruyue Cui , Biao Li , Ting Gong , Guqing Guo , Xuanbing Qiu , Chuanliang Li , Lei Dong

{"title":"Robust and compact light-induced thermoelastic sensor for atmospheric methane detection based on a vacuum-sealed subminiature tuning fork","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.2025.100691","DOIUrl":"10.1016/j.pacs.2025.100691","url":null,"abstract":"<div><div>A compact light-induced thermoelastic spectroscopy (LITES) instrument incorporating a subminiature quartz tuning fork (QTF) was developed for atmospheric methane (CH<sub>4</sub>) sensing. The QTF features prong dimensions of 1700 µm in length and 120 µm in width, which enable substantial thermoelastic expansion at the microscale, significantly enhancing the piezoelectric signal. The subminiature QTF was vacuum sealed to achieve a high quality factor of 20,511 and a temperature coefficient of frequency of − 0.91 ppm/℃, ensuring a high detection sensitivity and robustness for the LITES sensor. Under identical vacuum conditions, the subminiature QTF demonstrated a twofold signal enhancement compared to the standard QTF, resulting in a minimum detection limit (MDL) of 47 ppb with a 300-ms averaging time. Continuous measurements of atmospheric CH<sub>4</sub> levels over five days were conducted to evaluate the accuracy and robustness of the developed sensor for long-duration monitoring applications.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"42 ","pages":"Article 100691"},"PeriodicalIF":7.1,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143162044","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 石英音叉表面安装装置的光致热弹性光谱

IF 7.1 1区医学

Photoacoustics 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

引用次数: 0

Structure and oxygen saturation recovery of sparse photoacoustic microscopy images by deep learning 基于深度学习的稀疏光声显微镜图像结构和氧饱和度恢复。

IF 7.1 1区医学

Photoacoustics 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

{"title":"Structure and oxygen saturation recovery of sparse photoacoustic microscopy images by deep learning","authors":"Shuyan Zhang , Jingtan Li , Lin Shen , Zhonghao Zhao , Minjun Lee , Kun Qian , Naidi Sun , 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

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

Photoacoustics 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

{"title":"Ultra-sparse reconstruction for photoacoustic tomography: Sinogram domain prior-guided method exploiting enhanced score-based diffusion model","authors":"Zilong Li , Jiabin Lin , Yiguang Wang, Jiahong Li, Yubin Cao, Xuan Liu, Wenbo Wan, Qiegen Liu, 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

Photoacoustics 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

{"title":"Optoacoustic lenses for lateral sub-optical resolution elasticity imaging","authors":"Mengting Yao, Rafael Fuentes-Domínguez, Salvatore La Cavera III, Fernando Pérez-Cota, Richard J. Smith, Matt Clark","doi":"10.1016/j.pacs.2024.100663","DOIUrl":"10.1016/j.pacs.2024.100663","url":null,"abstract":"<div><div>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 <span><math><mo>∼</mo></math></span>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.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"41 ","pages":"Article 100663"},"PeriodicalIF":7.1,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703089","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

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

Photoacoustics 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

{"title":"Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons","authors":"Yang Wang , Danni Wang , Liting Zhong , Yi Zhou , Qing Wang , Wufan Chen , Li Qi","doi":"10.1016/j.pacs.2024.100666","DOIUrl":"10.1016/j.pacs.2024.100666","url":null,"abstract":"<div><div>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 <em>ex vivo</em> 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.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"41 ","pages":"Article 100666"},"PeriodicalIF":7.1,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703088","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

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

Photoacoustics 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

{"title":"Quantitative pharmacodynamics functional evaluation of Chinese medicine Qizhu formula in mice with dynamic near-infrared photoacoustic imaging","authors":"Qing-Juan Wu , Lan-Yu Chen , Quan-Mei Sun , Ning Wang , Dong Han , Wen-Liang Lv","doi":"10.1016/j.pacs.2024.100667","DOIUrl":"10.1016/j.pacs.2024.100667","url":null,"abstract":"<div><h3>Background & 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 & 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

Ultrasound-assisted aberration correction of transcranial photoacoustic imaging based on angular spectrum theory 基于角频谱理论的经颅光声成像超声辅助像差校正技术

IF 7.1 1区医学

Photoacoustics Pub Date : 2024-11-09 DOI: 10.1016/j.pacs.2024.100665

Qiuqin Mao, Yingjie Feng, Chao Tao, Xiaojun Liu

{"title":"Ultrasound-assisted aberration correction of transcranial photoacoustic imaging based on angular spectrum theory","authors":"Qiuqin Mao, Yingjie Feng, Chao Tao, Xiaojun Liu","doi":"10.1016/j.pacs.2024.100665","DOIUrl":"10.1016/j.pacs.2024.100665","url":null,"abstract":"<div><div>To correct the refraction aberration induced by the skull in photoacoustic imaging, a method for phase distortion compensation is proposed based on the angular spectrum theory with the aid of ultrasonic signals. This method first updates the speed of sound distribution by iteratively performing aberration correction in the ultrasonic reconstruction. Then the speed of sound distribution obtained with ultrasound-assisted serves as prior knowledge to address phase distortion compensation by adjusting the phase shift factor of the wavefront in different media. Finally, the aberration-corrected ultrasonic-photoacoustic dual-modality image can be obtained. Numerical simulations and phantom experiments confirm the effectiveness of this method. Specifically, in simulations, the position error of the proposed method is reduced from −13.61 % to 1.27 % in depth compared to the method based on the reconstruction with constant speed. Moreover, a real ex-vivo rabbit skull experiment illustrates the potential biological application of the proposed method in transcranial photoacoustic imaging.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"40 ","pages":"Article 100665"},"PeriodicalIF":7.1,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698770","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