A Spatial-Domain Factor for Sparse-Sampling Circular-View Photoacoustic Tomography DOI
Soheil Hakakzadeh, Praveenbalaji Rajendran, Vahid Amin Nili

et al.

IEEE Journal of Selected Topics in Quantum Electronics, Journal Year: 2022, Volume and Issue: 29(4: Biophotonics), P. 1 - 9

Published: Dec. 19, 2022

Circular full-view configuration of photoacoustic imaging systems (C-PAI) has many applications in biomedicine (e.g., breast and brain imaging). To obtain a high-quality reconstructed image, dense spatial sampling (a large number acoustic detectors) is needed, which makes the system expensive challenging. Unfortunately, by reducing samples, streak artifacts appear, degrade quality image. In this article, we propose spatial-domain factor to suppress enhance image sparse C-PAI system. Numerical experimental studies are conducted evaluate proposed method. The results show that samples one-fifth minimum required value meet Nyquist criteria, method provides higher terms suppression resolution improvement compared conventional with sampling. improves structural similarity index measure (SSIM), generalized contrast-to-noise ratio (gCNR), CNR, tangential values up 100%, 9%, 38.6 dB, ∼45%, respectively. Based on advantages method, low-cost version for clinical can be developed.

Language: Английский

Near-infrared-II photoacoustic imaging and photo-triggered synergistic treatment of thrombosis via fibrin-specific homopolymer nanoparticles DOI Creative Commons
Jianwen Song,

Xiaoying Kang,

Lu Wang

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Oct. 28, 2023

Abstract The formation of an occlusive thrombus in the blood vessel is main culprit for numerous life-threatening cardiovascular diseases that represent leading cause morbidity and mortality worldwide. Herein, we develop a polymer nanoplatform integrates long-wavelength second near-infrared (NIR-II) photoacoustic imaging-based thrombosis detection antithrombotic activity. We design synthesize semiconducting homopolymer with strong absorption NIR-II region molecular motion boosts photothermal conversion signal. dope thermosensitive nitric oxide donor to formulate nanoplatform, on which fibrin-specific ligand functionalized ensure selective targeting. show light harvesting capability, bright signal active accumulation ability, nanoprobes are able sensitively selectively delineate thrombi. find also displays rapid efficient clot removal activity nearly complete flow restoration both carotid models low extremity arterial under trigger by integrating thrombus-localized effect on-demand release. This offers versatile approach diagnosis treatment caused various thrombotic disorders.

Language: Английский

Citations

50
Deep Learning Enhances Multiparametric Dynamic Volumetric Photoacoustic Computed Tomography In Vivo (DL‐PACT) DOI Creative Commons
Seongwook Choi, Jinge Yang, Soo Young Lee

et al.

Advanced Science, Journal Year: 2022, Volume and Issue: 10(1)

Published: Nov. 10, 2022

Photoacoustic computed tomography (PACT) has become a premier preclinical and clinical imaging modality. Although PACT's image quality can be dramatically improved with large number of ultrasound (US) transducer elements associated multiplexed data acquisition systems, the high system cost and/or slow temporal resolution are significant problems. Here, deep learning-based approach is demonstrated that qualitatively quantitively diminishes limited-view artifacts reduce improves resolution. This learning-enhanced multiparametric dynamic volumetric PACT approach, called DL-PACT, requires only clustered subset many US on conventional PACT. Using high-quality static structural contrast-enhanced whole-body images as well functional brain live animals humans successfully acquired, all in relatively fast cost-effective manner. It believed strategy significantly advance use technology for applications such neurology, cardiology, pharmacology, endocrinology, oncology.

Language: Английский

Citations

57
Clinical theranostics applications of photo-acoustic imaging as a future prospect for cancer DOI

Amir Zare,

Parisa Shamshiripour,

Shahla Lotfi

et al.

Journal of Controlled Release, Journal Year: 2022, Volume and Issue: 351, P. 805 - 833

Published: Oct. 10, 2022

Language: Английский

Citations

19
Towards in vivo photoacoustic human imaging: Shining a new light on clinical diagnostics DOI Creative Commons
Zhiyang Wang, Fei Yang, Wuyu Zhang

et al.

Fundamental Research, Journal Year: 2023, Volume and Issue: 4(5), P. 1314 - 1330

Published: Feb. 14, 2023

Multiscale visualization of human anatomical structures is revolutionizing clinical diagnosis and treatment. As one the most promising diagnostic techniques, photoacoustic imaging (PAI), or optoacoustic imaging, bridges spatial-resolution gap between pure optical ultrasonic by modes illumination acoustic detection. PAI can non-invasively capture multiple contrasts from endogenous agents such as oxygenated/deoxygenated hemoglobin, lipid melanin a variety exogenous specific biomarkers to reveal anatomy, function, molecular for biological tissues

Language: Английский

Citations

13
Quantitative photoacoustic tomography: modeling and inverse problems DOI Creative Commons
Tanja Tarvainen, Ben Cox

Journal of Biomedical Optics, Journal Year: 2023, Volume and Issue: 29(S1)

Published: Dec. 20, 2023

Quantitative photoacoustic tomography (QPAT) exploits the effect with aim of estimating images clinically relevant quantities related to tissue's optical absorption. The technique has two aspects: an acoustic part, where initial pressure distribution is estimated from measured time-series, and distributions parameters are pressure.Our study focused on part. In particular, computational modeling light propagation (forward problem) numerical solution methodologies image reconstruction (inverse discussed.The commonly used mathematical models how sound propagate in biological tissue reviewed. A short overview inverse problem usually treated given. methods for its addition, some limitations real-life measurements their problems discussed.An QPAT a focus part was Computational were addressed, key challenges discussed. Furthermore, developments tackling these Although transport well-understood there well-developed framework mathematics approaching QPAT, still taking practice.Modeling together scope limited aspects discussed only extent that they relate aspect.

Language: Английский

Citations

13
Image reconstruction from photoacoustic projections DOI Creative Commons
Chao Tian, Kang Shen, Wende Dong

et al.

Photonics Insights, Journal Year: 2024, Volume and Issue: 3(3), P. R06 - R06

Published: Jan. 1, 2024

Language: Английский

Citations

4
Energy estimation methods for positron emission tomography detectors composed of multiple scintillators DOI Creative Commons

Hyeong Seok Shim,

Min Jeong Cho,

Jae Sung Lee

et al.

Biomedical Engineering Letters, Journal Year: 2025, Volume and Issue: 15(3), P. 489 - 496

Published: March 4, 2025

Abstract The performance and image quality of positron emission tomography (PET) systems can be enhanced by strategically employing multiple different scintillators, particularly those with decay times. Two cutting-edge PET detector technologies scintillators times are the phoswich emerging metascintillator. In imaging, accurate precise energy measurement is important for effectively rejecting scattered gamma-rays estimating scatter distribution. However, traditional measures light output, such as amplitude or integration values photosensor output pulses, cannot accurately indicate deposit across scintillators. To address these issues, this study explores two methods estimation in detectors that employ first method uses pseudo-inverse matrix generated from unique pulse profile each crystal, while second employs an artificial neural network (ANN) to estimate deposited crystal. effectiveness proposed was experimentally evaluated using three heavy dense inorganic scintillation crystals (BGO, LGSO, GAGG) fast plastic (EJ200, EJ224, EJ232). ANNs consistently demonstrated superior accuracy all crystal combinations when compared approach utilizing matrix. approach, there a negligible difference applying integral-based labels opposed amplitude-based labels. On other hand, ANN outperforms use This contributes advancement technology proposing evaluating appears promising solution improving estimation, addressing challenges posed mixed pulses.

Language: Английский

Citations

0
Deep-Learning-Based Algorithm for the Removal of Electromagnetic Interference Noise in Photoacoustic Endoscopic Image Processing DOI Creative Commons

Oleksandra Gulenko,

Hyunmo Yang,

KiSik Kim

et al.

Sensors, Journal Year: 2022, Volume and Issue: 22(10), P. 3961 - 3961

Published: May 23, 2022

Despite all the expectations for photoacoustic endoscopy (PAE), there are still several technical issues that must be resolved before technique can successfully translated into clinics. Among these, electromagnetic interference (EMI) noise, in addition to limited signal-to-noise ratio (SNR), have hindered rapid development of related technologies. Unlike endoscopic ultrasound, which SNR increased by simply applying a higher pulsing voltage, is fundamental limitation leveraging PAE signals because they mostly determined optical pulse energy applied, within safety limits. Moreover, typical hardware situation requires wide separation between ultrasonic sensor and amplifier, meaning it not easy build an ideal system would unaffected EMI noise. With intention expediting progress research, this study, we investigated feasibility deep-learning-based noise removal involved image processing. In particular, selected four fully convolutional neural network architectures, U-Net, Segnet, FCN-16s, FCN-8s, observed modified U-Net architecture outperformed other architectures removal. Classical filter methods were also compared confirm superiority approach. Still, was able produce denoised 3D vasculature map could even depict mesh-like capillary networks distributed wall rat colorectum. As low-cost laser diode or LED-based tomography (PAT) now emerging as one important topics PAT, expect presented AI strategy broadly applicable many areas ability apply hardware-based prevention method thus appears more prominently due poor SNR.

Language: Английский

Citations

17
Photoacoustic Imaging Probes for Theranostic Applications DOI Creative Commons
Cailing He, Jiayuan Zhu, Huayue Zhang

et al.

Biosensors, Journal Year: 2022, Volume and Issue: 12(11), P. 947 - 947

Published: Nov. 1, 2022

Photoacoustic imaging (PAI), an emerging biomedical technology, capitalizes on a wide range of endogenous chromophores and exogenous contrast agents to offer detailed information related the functional molecular content diseased biological tissues. Compared with traditional technologies, PAI offers outstanding advantages, such as higher spatial resolution, deeper penetrability in tissues, improved contrast. Based nanomaterials small organic dyes, huge number have recently been developed probes for disease diagnosis treatment. Herein, we report recent advances development dye-based probes. The current challenges field future research directions designing fabrication are proposed.

Language: Английский

Citations

17
High Resolution Photoacoustic Vascular Image Reconstruction through the Fast Residual Dense Generative Adversarial Network DOI Creative Commons
Yameng Zhang, Hua Tian, Min Wan

et al.

Photoacoustics, Journal Year: 2025, Volume and Issue: unknown, P. 100720 - 100720

Published: April 1, 2025

Photoacoustic imaging is a powerful technique that provides high-resolution, deep tissue imaging. However, the time-intensive nature of photoacoustic microscopy (PAM) poses 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) 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, vivo experiments cerebral achieves improvement 2.24 dB 0.0255 peak signal-to-noise ratio structural similarity metrics contrast SRGAN, respectively. Our method promising solution fast, microvascular biomedical research.

Language: Английский

Citations

0