Photoacoustics最新文献_第2页

Attention-driven complementary information fusion network for sparse photoacoustic image reconstruction 基于注意力驱动的互补信息融合网络的稀疏光声图像重建

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2026-01-09 DOI: 10.1016/j.pacs.2026.100797

Yixin Lai , Qiong Zhang , Zhengnan Yin

Photoacoustic tomography (PAT) is an emerging biomedical imaging modality that uniquely combines high spatial resolution with deep tissue penetration in a non-invasive manner, holding significant promise for diverse applications. However, image reconstruction quality in PAT severely degrades under limited-view data acquisition scenarios, such as those imposed by the physical constraints of intracavitary imaging. Conventional reconstruction methods (e.g., Delay-and-Sum, DAS) under these conditions typically yield images plagued by severe artifacts and loss of fine structural details. While deep learning (DL) approaches offer some improvement, existing post-processing methods still struggle to accurately recover intricate anatomical features from severely undersampled, limited-view data, often resulting in blurred details or persistent artifacts. To address these critical limitations, we propose DUAFF-Net, a novel dual-stream deep learning architecture. DUAFF-Net uniquely processes two complementary input representations in parallel: 1) conventional DAS reconstructions, and 2) pixel-wise interpolated raw data. The network employs a sophisticated two-stage feature fusion strategy to maximize information extraction and synergy. In the first stage, the Multi-scale Information Aggregation and Feature-refinement Module (MIAF-Module) enables early-stage cross-modal information complementarity and feature enhancement. Subsequently, the Global Context and Deep Fusion Module (GCDF-Module) focuses on holistic feature optimization and deep integration across the streams. These modules work synergistically to progressively refine the reconstruction. Extensive experiments on simulated PAT datasets of retinal vasculature and complex brain structures, as well as an in vivo mouse abdomen dataset, demonstrate that DUAFF-Net robustly generates high-quality images even under highly incomplete data conditions. Quantitative evaluation shows that DUAFF-Net achieves substantial improvements over the standard DAS algorithm, with gains of ∼18.38 dB in Peak Signal-to-Noise Ratio (PSNR) and ∼0.69 in Structural Similarity Index (SSIM). Furthermore, DUAFF-Net consistently outperforms other state-of-the-art DL-based reconstruction models across multiple metrics, demonstrating its superior capability in preserving fine details and suppressing artifacts, thereby establishing comprehensive performance advantages for limited-view PAT reconstruction.

光声断层扫描（PAT）是一种新兴的生物医学成像方式，它以非侵入性的方式将高空间分辨率与深层组织渗透相结合，具有广泛的应用前景。然而，在有限视点数据采集场景下，如腔内成像的物理约束，PAT的图像重建质量严重下降。在这些条件下，传统的重建方法（例如，Delay-and-Sum， DAS）通常会产生严重伪影和精细结构细节丢失的图像。虽然深度学习（DL）方法提供了一些改进，但现有的后处理方法仍然难以从严重采样不足、视野有限的数据中准确恢复复杂的解剖特征，这通常会导致细节模糊或持久的伪影。为了解决这些关键的限制，我们提出了DUAFF-Net，一种新的双流深度学习架构。duaf - net唯一地并行处理两个互补的输入表示：1)传统的DAS重建，以及2)逐像素插值的原始数据。该网络采用复杂的两阶段特征融合策略，最大限度地提取信息和协同。在第一阶段，多尺度信息聚合和特征细化模块（MIAF-Module）实现早期的跨模态信息互补和特征增强。随后，Global Context and Deep Fusion Module （GCDF-Module）侧重于整体特征优化和跨流深度融合。这些模块协同工作，逐步完善重建。在视网膜血管和复杂脑结构的模拟PAT数据集以及体内小鼠腹部数据集上进行的大量实验表明，即使在高度不完整的数据条件下，duaf - net也能鲁棒地生成高质量的图像。定量评估表明，与标准DAS算法相比，DUAFF-Net实现了实质性改进，峰值信噪比（PSNR）的增益为~ 18.38 dB，结构相似性指数（SSIM）的增益为~ 0.69。此外，duaf - net在多个指标上始终优于其他最先进的基于dl的重建模型，展示了其在保留精细细节和抑制工件方面的卓越能力，从而为有限视图PAT重建建立了全面的性能优势。

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引用次数: 0

Blood-mimicking dye phantoms for evaluating photoacoustic oximetry accuracy 评价光声血氧饱和度准确度的模拟血液染料模型

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2026-01-08 DOI: 10.1016/j.pacs.2026.100795

Yong Zhou , Zixin Wang , Keith A. Wear , T. Joshua Pfefer , Jesse V. Jokerst , William C. Vogt

Many proposed clinical applications of photoacoustic imaging (PAI) rely on relative or absolute measurements of blood oxygen saturation (sO2), and evaluation of oximetry measurement accuracy is crucial for assessing device performance. Available bench test methods use phantoms connected to blood flow circuits with tunable oxygenation, but these methods are complex, costly, and pose biohazard safety risks. To address these issues, we have developed stable and tunable blood-mimicking solutions using binary mixtures of commercially available near-infrared organic dyes (NIR746A and IRA980) to enable non-biological phantom-based PAI oximetry test methods. We used spectrophotometry and a custom PA spectroscopy system to characterize dye extinction and PA response at 750 nm and 850 nm, then formulated various dye recipes mimicking sO2 levels from 40 % to 100 %. We then used a custom PAI system to image breast-mimicking polyacrylamide hydrogel phantoms with embedded tubes injected with static volumes of either dye solutions or bovine blood deoxygenated using sodium dithionite. Phantom testing with dyes produced similar performance metrics to blood, with root-mean-squared difference (RMSD) values between photoacoustic sO2 and reference sO2 of 6–17 % for blood and 4–18 % for dyes, sensitivity (slope of the regression line) ranged from 0.4 to 0.7 for blood and 0.4–0.9 for dyes, and depth-averaged bias ranged from 4 % to 17 % for blood and 3–10 % for dyes. These blood-mimicking dyes may offer a simpler, cheaper, safer, and more stable approach to evaluate PAI oximetry accuracy compared to traditional blood flow phantoms. This tool could facilitate establishment of less burdensome and more reproducible phantom-based PAI test methods, ultimately expediting clinical adoption of PAI technology.

光声成像（PAI）的许多临床应用都依赖于血氧饱和度（sO2）的相对或绝对测量，血氧饱和度测量精度的评估对于评估设备性能至关重要。现有的台架试验方法使用与可调节氧合的血流回路相连的幻影，但这些方法复杂、昂贵，并存在生物危害安全风险。为了解决这些问题，我们开发了稳定和可调的血液模拟解决方案，使用市售的近红外有机染料（NIR746A和IRA980）的二元混合物，以实现基于非生物幻影的PAI血氧测定方法。我们使用分光光度法和定制的PA光谱系统来表征染料在750 nm和850 nm处的消光和PA响应，然后制定了各种模拟sO2水平从40 %到100 %的染料配方。然后，我们使用一个定制的PAI系统来成像模拟乳房的聚丙烯酰胺水凝胶幻影，嵌入管注入静态体积的染料溶液或用二亚硫酸钠脱氧的牛血液。染料的幻影测试产生了与血液相似的性能指标，光声sO2与参考sO2之间的均方根差（RMSD）值在血液中为6-17 %，在染料中为4 - 18 %，灵敏度（回复线斜率）在血液中为0.4 - 0.7，在染料中为0.4 - 0.9，深度平均偏差在血液中为4 %至17 %，在染料中为3-10 %。与传统的血流模型相比，这些模拟血液的染料可能提供一种更简单、更便宜、更安全、更稳定的方法来评估PAI血氧仪的准确性。该工具可以促进建立负担更少、可重复性更高的基于模型的PAI测试方法，最终加快PAI技术的临床采用。

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引用次数: 0

Vascular graph network for ovarian lesion classification using optical-resolution photoacoustic microscopy 使用光学分辨率光声显微镜进行卵巢病变分类的血管图网络

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2025-12-30 DOI: 10.1016/j.pacs.2025.100794

Yixiao Lin , Lukai Wang , Ian S. Hagemann , Lindsay M. Kuroki , Brooke E. Sanders , Andrea R. Hagemann , Cary Siegel , Matthew A. Powell , Quing Zhu

Diagnosing ovarian lesions is challenging because of their heterogeneous clinical presentations. Some benign ovarian conditions, such as endometriosis, can have features that mimic cancer. We use optical-resolution photoacoustic microscopy (OR-PAM) to study the differences in ovarian vasculature between cancer and various benign conditions. In this study, we converted OR-PAM vascular data into vascular graphs augmented with physical vascular properties. From 94 ovarian specimens, a custom vascular graph network (VGN) was developed to classify each graph as either normal ovary, one of three benign pathologies, or cancer. We demonstrated for the first time that, by leveraging the intrinsic similarity between vascular networks and graph constructs, VGN provides stable predictions from sampling surface areas as small as 3 mm× 0.12 mm. In diagnosing cancer, VGN achieved 79.5 % accuracy and an area under the receiver operating characteristic curve (AUC) of 0.877. Overall, VGN achieved a five-class classification accuracy of 73.4 %.

诊断卵巢病变是具有挑战性的，因为他们的异质临床表现。一些良性卵巢疾病，如子宫内膜异位症，可能具有类似癌症的特征。我们使用光学分辨率光声显微镜（OR-PAM）来研究卵巢血管在癌症和各种良性疾病之间的差异。在这项研究中，我们将OR-PAM血管数据转换成血管图形，并增强了血管的物理特性。从94个卵巢标本中，开发了一个自定义血管图网络（VGN），将每个图分类为正常卵巢、三种良性病理之一或癌症。我们首次证明，通过利用血管网络和图结构之间的内在相似性，VGN可以从小至3 mmx 0.12 mm的采样表面积中提供稳定的预测。在诊断癌症方面，VGN的准确率为79.5 %，受者工作特征曲线下面积（AUC）为0.877。总体而言，VGN实现了73.4 %的五类分类准确率。

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引用次数: 0

Application of a virtual imaging framework for investigating a deep learning-based reconstruction method for 3D quantitative photoacoustic computed tomography 应用虚拟成像框架研究基于深度学习的三维定量光声计算机断层成像重建方法

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2025-12-29 DOI: 10.1016/j.pacs.2025.100792

Refik Mert Cam , Seonyeong Park , Umberto Villa , Mark A. Anastasio

Quantitative photoacoustic computed tomography (qPACT) is a promising imaging modality for estimating physiological parameters such as blood oxygen saturation. However, developing robust qPACT reconstruction methods remains challenging due to computational demands, modeling difficulties, and experimental uncertainties. Learning-based methods have been proposed to address these issues but remain largely unvalidated. Virtual imaging (VI) studies are essential for validating such methods early in development, before proceeding to less-controlled phantom or in vivo studies. Effective VI studies must employ ensembles of stochastically generated numerical phantoms that accurately reflect relevant anatomy and physiology. Yet, most prior VI studies for qPACT relied on overly simplified phantoms. In this work, a realistic VI testbed is employed for the first time to assess a representative 3D learning-based qPACT reconstruction method for breast imaging. The method is evaluated across subject variability and physical factors such as measurement noise and acoustic aberrations, offering insights into its strengths and limitations.

定量光声计算机断层扫描（qPACT）是一种很有前途的成像方式，用于估计生理参数，如血氧饱和度。然而，由于计算需求、建模困难和实验不确定性，开发鲁棒的qPACT重建方法仍然具有挑战性。已经提出了基于学习的方法来解决这些问题，但在很大程度上仍未得到验证。虚拟成像（VI）研究对于在开发早期验证这些方法至关重要，然后再进行较少控制的幻影或体内研究。有效的VI研究必须采用随机生成的数字幻象集合，以准确反映相关的解剖学和生理学。然而，大多数先前的qPACT的VI研究依赖于过于简化的幻影。在这项工作中，首次使用现实的VI测试平台来评估具有代表性的基于3D学习的乳房成像qPACT重建方法。对该方法进行了跨主题可变性和物理因素（如测量噪声和声像差）的评估，从而深入了解其优势和局限性。

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引用次数: 0

Mapping glucose-induced hemodynamics in white fat depots with label-free optoacoustics 用无标签光声学技术测绘白色脂肪库中葡萄糖诱导的血流动力学

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2025-12-23 DOI: 10.1016/j.pacs.2025.100793

Nikolina-Alexia Fasoula , Nikoletta Katsouli , Michael Kallmayer , Vasilis Ntziachristos , Angelos Karlas

Subcutaneous adipose tissue (SAT) hemodynamics is an indicator of cardiometabolic health. Herein, we demonstrate a non-invasive approach for imaging SAT hemodynamics in humans using multispectral optoacoustic tomography (MSOT). We evaluated different SAT depots in individuals with low (< 24 kg/m²) and high (≥ 24 kg/m²) BMI, with each group consisting of 8 participants, during oral glucose challenges. Our results indicate a significant decrease in glucose-induced hyperemic responses within SAT for individuals with higher BMI, at 60 min postprandially. MSOT also revealed that abdominal SAT exhibited a more active hemodynamic status compared to femoral SAT in both groups when compared to baseline measurements. MSOT readouts were further validated against longitudinal blood tests of triglycerides, glucose, lactate, and cholesterol. We introduce MSOT as a new method for studying SAT hemodynamics across multiple depots in a single test, providing invaluable insights into SAT physiology related to BMI fluctuations and general cardiometabolic health.

皮下脂肪组织（SAT）血流动力学是心脏代谢健康的一个指标。在此，我们展示了一种使用多光谱光声断层扫描（MSOT）成像人类SAT血流动力学的非侵入性方法。我们评估了低BMI （< 24 kg/m²）和高BMI（≥24 kg/m²）个体在口服葡萄糖挑战期间的不同SAT水平，每组由8名参与者组成。我们的研究结果表明，在餐后60 min时，BMI较高的个体在SAT中葡萄糖诱导的充血反应显著降低。MSOT还显示，与基线测量相比，两组腹部SAT表现出更活跃的血流动力学状态。MSOT读数与甘油三酯、葡萄糖、乳酸盐和胆固醇的纵向血液测试进一步验证。我们将MSOT作为一种新的方法，在一次测试中跨多个仓库研究SAT血液动力学，为与BMI波动和一般心脏代谢健康相关的SAT生理学提供宝贵的见解。

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引用次数: 0

Detecting parts-per-billion carbon monoxide with an ultra-enhanced near-infrared photoacoustic sensor 用超增强型近红外光声传感器检测十亿分之一的一氧化碳

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2025-12-18 DOI: 10.1016/j.pacs.2025.100790

Yaopeng Cheng , Ting Chen , Ruili Zhang , Sailing He

An ultra-enhanced near-infrared (NIR) photoacoustic gas sensor was developed by integrating three enhancing techniques: (a) boosting the excitation power up to 2 W via a custom-built large-mode erbium doped fiber amplifier (EDFA), (b) exploiting the acoustic resonance amplification of a hyperbolic nonlinear resonator (HNR), and (c) increasing the effective absorption path length by using a near-concentric multipass cavity (MPC) with 20 reflections. A weak CO absorption line at 1566.64 nm with the intensity of 2.074 × 10⁻²³ cm/molecule was selected. The photoacoustic signal was enhanced 396 times. A minimum detection limit (MDL) of 190 ppb at 10 s was achieved and can be improved to be 11.4 ppb according to the Allan analysis, which was comparable to a mid-infrared (MIR) photoacoustic sensor. The ultra-enhanced NIR photoacoustic sensor is a cost-effective solution for the ppb-level trace gas detection, offering a price that is less than one-third that of MIR photoacoustic sensors.

通过集成三种增强技术，开发了一种超增强近红外（NIR）光声气体传感器：(a)通过定制的大模掺铒光纤放大器（EDFA）将激发功率提高到2 W， (b)利用双曲非线性谐振器（HNR）的声共振放大，以及(c)通过使用近同心多通腔（MPC）增加有效吸收路径长度。在1566.64 nm处，选择了一条强度为2.074 × 10−23 cm/分子的弱CO吸收谱线。光声信号增强396倍。在10 s下实现了190 ppb的最小检测限（MDL），根据Allan分析可以提高到11.4 ppb，这与中红外（MIR）光声传感器相当。超增强型近红外光声传感器是一种具有成本效益的解决方案，用于ppb级痕量气体检测，其价格不到MIR光声传感器的三分之一。

引用次数: 0

Dual-comb photoacoustic and photothermal spectroscopy: A comprehensive review 双梳光声光热光谱学综述

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2025-12-12 DOI: 10.1016/j.pacs.2025.100789

Chenghong Zhang , Jacopo Pelini , Stefano Dello Russo , Paolo De Natale , Mario Siciliani de Cumis , Simone Borri

Dual-comb spectroscopy is one of the most powerful techniques for multispecies trace-gas sensing, attracting growing attention in both theoretical and experimental research. Firstly demonstrated and usually applied with direct absorption spectroscopy schemes, the dual-comb approach has been successfully combined with techniques like photoacoustic (PA) and photothermal (PT) spectroscopy in recent years. These techniques have been demonstrated to be particularly attractive because of their wavelength-independent and background-free detection, two key features allowing for the achievement of unprecedented dynamic range and flexibility. The integration of these techniques with dual-comb spectroscopy allows a significant enhancement in spectral resolution and bandwidth while preserving the peculiar features of PA and PT spectroscopy. Since the first proof-of-principle demonstration of dual-comb PA spectroscopy, several solutions based on acoustic transducers and optical cavities have been proposed to enhance the final sensitivity and optimize both detection bandwidth and spectral resolution. Starting from the description of the physical principles behind dual-comb PA and PT spectroscopy, this work presents a comprehensive review of the available state-of-the-art, focusing both on the different experimental setups and on a systematic comparison of the achieved results. Finally, the main challenges and prospects will be discussed, offering insights into potential directions for further innovation.

双梳光谱技术是多组分痕量气体传感技术中最强大的技术之一，在理论和实验研究中都受到越来越多的关注。近年来，双梳方法与光声（PA）、光热（PT）等技术成功结合，首次在直接吸收光谱方案中得到验证并得到应用。这些技术被证明是特别有吸引力的，因为它们的波长无关和无背景检测，两个关键特征允许实现前所未有的动态范围和灵活性。这些技术与双梳光谱的集成可以显著提高光谱分辨率和带宽，同时保留PA和PT光谱的特有特征。自首次双梳PA光谱原理验证以来，已经提出了几种基于声换能器和光学腔的解决方案，以提高最终灵敏度，优化检测带宽和光谱分辨率。从描述双梳PA和PT光谱背后的物理原理开始，这项工作对现有的最先进技术进行了全面的回顾，重点是不同的实验设置和已取得结果的系统比较。最后，将讨论主要挑战和前景，并提供进一步创新的潜在方向。

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引用次数: 0

Design and characterisation of intervertebral disc mimicking phantoms for photoacoustic imaging 用于光声成像的椎间盘模拟幻象的设计和表征

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2025-12-10 DOI: 10.1016/j.pacs.2025.100783

Roman Allais , Valentin Espinas , Antoine Capart , Anabela Da Silva , Olivier Boiron

Photoacoustics has gained momentum as a new medical imaging technique owing to its ability to benefit from good optical contrast and acoustic resolution. To ease transfer into clinical settings and validate the algorithms, calibrated tissue-mimicking materials (TMM) are required. This paper describes a complete photoacoustic characterisation of a line of titanium dioxide (TiO₂) doped agarose hydrogels whose optical absorption (490–835 nm), reduced scattering (590–815 nm), isobaric heat capacity, mass density, speed of sound and acoustic attenuation were quantified for an agarose concentration up to 4% w/w and a TiO₂ concentration ranging from 0.25 to 1 mg/mL. Empirical constitutive laws as a function of the concentrations of the components were derived, enabling the creation of TMM with tailored properties. Results showed that these phantoms are suitable candidates to mimic the photoacoustic properties of various soft tissues including intervertebral discs (IVD). Photoacoustic probings performed on an IVD-mimicking phantom and six healthy porcine discs demonstrated the ability of these TMM to accurately replicate healthy IVD properties; this could serve as a first step towards an application of photoacoustic imaging to quantifying disc degeneration.

光声学作为一种新的医学成像技术，由于其具有良好的光学对比度和声学分辨率而获得了发展势头。为了便于转移到临床环境并验证算法，需要校准的组织模拟材料（TMM）。本文描述了一系列二氧化钛（TiO2）掺杂琼脂糖水凝胶的完整光声表征，其光吸收（490-835 nm），减少散射（590-815 nm），等压热容，质量密度，声速和声衰减在琼脂糖浓度高达4% w/w和TiO2浓度范围为0.25至1 mg/mL时被量化。经验本构定律作为成分浓度的函数被推导出来，使TMM具有量身定制的特性。结果表明，这些幻象是模拟包括椎间盘在内的各种软组织的光声特性的合适候选者。在模拟IVD的假体和六个健康的猪椎间盘上进行的光声探测表明，这些TMM能够准确地复制健康的IVD特性；这可以作为应用光声成像定量椎间盘退变的第一步。

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引用次数: 0

Photoacoustic imaging: An emerging tool for intraoperative margin assessment in breast-conserving surgery 光声成像：保乳手术术中边缘评估的新兴工具

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2025-12-09 DOI: 10.1016/j.pacs.2025.100788

Zhijie Luo , Yiqiong Zheng , Ruixi Sun , Wenye Gong , Jiayu Wang , Guangwei Chen , Ye Zhang , Runqi Zhao , Daohuai Jiang , Fei Gao , Xiru Li

Photoacoustic Imaging (PAI) synergizes light's optical contrast with ultrasound's penetration depth via the photoacoustic effect. Breast cancer remains a global challenge, particular demanding precise intraoperative tumor demarcation during breast-conserving surgery (BCS). PAI has the potential to address this need by enabling boundary delineation, promoting complete resection and healthy tissue preservation. This review summarizes breast cancer epidemiology and BCS's clinical demands, highlighting PAI's unique advantages for intraoperative use. PAI can dynamically monitor cellular/tissue morphology, blood oxygen saturation, vasculature, and tumor-associated calcifications, generating high-contrast tumor margin information. This real-time feedback enhances surgical precision, reduces recurrence rates, and improves breast aesthetics and patient quality of life. Despite translational challenges, PAI is poised to become a revolutionary tool for optimizing BCS outcomes.

光声成像（PAI）通过光声效应将光的光学对比度与超声的穿透深度协同起来。乳腺癌仍然是一个全球性的挑战，特别是在保乳手术（BCS）中需要精确的术中肿瘤划分。PAI有可能通过实现边界划定，促进完全切除和健康组织保存来解决这一需求。本文综述了乳腺癌流行病学和BCS的临床需求，强调了PAI在术中应用的独特优势。PAI可以动态监测细胞/组织形态、血氧饱和度、脉管系统和肿瘤相关钙化，生成高对比度的肿瘤边缘信息。这种实时反馈提高了手术精度，降低了复发率，改善了乳房美观和患者的生活质量。尽管存在翻译方面的挑战，PAI仍有望成为优化BCS结果的革命性工具。

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引用次数: 0

GPU-accelerated volumetric-mosaic optical-resolution photoacoustic microscopy and quantifying tumor vasculature growth gpu加速体积镶嵌光学分辨率光声显微镜和定量肿瘤血管生长

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Photoacoustics

Pub Date : 2025-11-19 DOI: 10.1016/j.pacs.2025.100786

Thanh Dat Le , Thi Thao Mai , Qiwei Lin , Xingshu Li , Jung-Joon Min , Changho Lee

Tumor growth is closely linked to vascular remodeling, yet comprehensive volumetric imaging of tumor vasculature using photoacoustic microscopy (PAM) remains challenging due to limitations in the field of view, depth penetration, and processing speed. Herein, we present hybrid scanning-based optical-resolution PAM integrated with a GPU-accelerated 3D mosaic and quantification framework for label-free high-resolution monitoring of tumor angiogenesis. Our system employs an optimized mosaic-matching method to achieve large volumetric FOVs (up to 10 × 10 × 2.5 mm³) and supports full 3D reconstruction. In addition, GPU-based parallel processing was applied to enable rapid 3D quantification of vasculature in terms of vessel diameter, density, and branching complexity. The enhanced GPU-based computational framework accelerated the 3D mosaicking and quantification analysis by approximately twofold relative to CPU-based processing. Longitudinal monitoring in a nude-mouse 4T1 breast tumor model over 11 days revealed progressive vascular remodeling and angiogenesis during tumor progression. Our approach overcomes the existing constraints on using PAM by combining hardware-efficient hybrid scanning with GPU-accelerated 3D mosaicking and vasculature quantification. This provides a powerful tool for in vivo tumor vasculature imaging and quantitative analysis, thereby advancing cancer diagnosis and clinical treatment process in future.

肿瘤生长与血管重构密切相关，但由于视野、穿透深度和处理速度的限制，利用光声显微镜（PAM）对肿瘤血管进行全面的体积成像仍然具有挑战性。在这里，我们提出了基于混合扫描的光学分辨率PAM，集成了gpu加速的3D马赛克和量化框架，用于无标记的高分辨率肿瘤血管生成监测。我们的系统采用优化的马赛克匹配方法来实现大体积fov（高达10 × 10 × 2.5 mm³），并支持全3D重建。此外，基于gpu的并行处理应用于血管直径，密度和分支复杂性方面的快速3D量化。增强的基于gpu的计算框架相对于基于cpu的处理，将3D拼接和量化分析的速度提高了大约两倍。裸鼠4T1乳腺肿瘤模型11天的纵向监测显示，肿瘤进展过程中血管重构和血管生成渐进性。我们的方法通过将硬件高效混合扫描与gpu加速的3D镶嵌和血管定量相结合，克服了使用PAM的现有限制。这为体内肿瘤血管成像和定量分析提供了有力的工具，从而推动了未来癌症的诊断和临床治疗进程。

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引用次数: 0