Photoacoustics最新文献_第3页

A light-induced thermoelastic spectroscopy using surface mounted device quartz tuning fork

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

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

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

Photoacoustics Pub Date : 2025-01-06 DOI: 10.1016/j.pacs.2025.100683

Hanxu Ma , Yanjun Chen , Shunda Qiao , Ying He , Yufei Ma

{"title":"A high sensitive methane QEPAS sensor based on self-designed trapezoidal-head quartz tuning fork and high power diode laser","authors":"Hanxu Ma , Yanjun Chen , Shunda Qiao , Ying He , 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

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

Photoacoustic spectroscopy of layered crystals: An enhancement of the photoacoustic signal and its analysis from the perspective of heat generation 层状晶体的光声光谱学：光声信号的增强及其从发热角度的分析

IF 7.1 1区医学

Photoacoustics Pub Date : 2024-11-13 DOI: 10.1016/j.pacs.2024.100668

Kamil Misztal, Jan Kopaczek, Robert Kudrawiec

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

Ultrasound-guided photoacoustic image annotation toolkit in MATLAB (PHANTOM) for preclinical applications 超声引导光声图像注释工具箱在MATLAB （PHANTOM）的临床前应用

IF 7.1 1区医学

Photoacoustics Pub Date : 2024-11-09 DOI: 10.1016/j.pacs.2024.100662

Allison Sweeney , Aayush Arora , Skye A. Edwards , Srivalleesha Mallidi

{"title":"Ultrasound-guided photoacoustic image annotation toolkit in MATLAB (PHANTOM) for preclinical applications","authors":"Allison Sweeney , Aayush Arora , Skye A. Edwards , Srivalleesha Mallidi","doi":"10.1016/j.pacs.2024.100662","DOIUrl":"10.1016/j.pacs.2024.100662","url":null,"abstract":"<div><div>Depth-dependent fluence-compensation in photoacoustic (PA) imaging is paramount for accurate quantification of chromophores from deep tissues. Here we present a user-friendly toolkit named PHANTOM (PHotoacoustic ANnotation TOolkit for MATLAB) that includes a graphical interface and assists in the segmentation of ultrasound-guided PA images. We modelled the light source configuration with Monte Carlo eXtreme and utilized 3D segmented tissues from ultrasound to generate fluence maps to depth compensate PA images. The methodology was used to analyze PA images of phantoms with varying blood oxygenation and results were validated with oxygen electrode measurements. Two preclinical models, a subcutaneous tumor and a calcified placenta, were imaged and fluence-compensated using the PHANTOM toolkit and the results were verified with immunohistochemistry. The PHANTOM toolkit provides scripts and auxiliary functions to enable biomedical researchers not specialized in optical imaging to apply fluence correction to PA images, enhancing accessibility of quantitative PAI for researchers in various fields.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"41 ","pages":"Article 100662"},"PeriodicalIF":7.1,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748156","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