Collagen fibers quantification for liver fibrosis assessment using linear dichroism photoacoustic microscopy DOI Creative Commons

Qiu Yang,

Honghui Li,

Kun Yu

et al.

Photoacoustics, Journal Year: 2025, Volume and Issue: 42, P. 100694 - 100694

Published: Feb. 3, 2025

Liver fibrosis represents a progressive pathological condition that can culminate in severe hepatic dysfunction, potentially advancing to cirrhosis and liver cancer. The extent of is intrinsically associated with the quantity collagen fibers. Although biopsy ultrasound imaging are standard diagnostic tools, their application constrained by risks significant complications variability different investigators, respectively. In this study, we utilized linear dichroism photoacoustic microscopy (LDPAM) visualize quantify fibers, which exhibit specific absorption polarized light, subsequently calculating fibers degree (CDOD) score. We obtained high-resolution images structures, an emphasis on within tissue. Using CDOD score, categorized into three distinct stages: normal, early, advanced. For validation purposes, were visualized Sirius-red staining quantitatively assessed through proportional area (CPA) Our results demonstrated correlation between CPA scores, Pearson coefficient 0.95. This approach presents promising non-invasive method for assessing quantifying

Language: Английский

Recent Advances in Contrast-Enhanced Photoacoustic Imaging: Overcoming the Physical and Practical Challenges DOI
Wonseok Choi, Byullee Park, Seongwook Choi

et al.

Chemical Reviews, Journal Year: 2023, Volume and Issue: 123(11), P. 7379 - 7419

Published: Jan. 16, 2023

For decades now, photoacoustic imaging (PAI) has been investigated to realize its potential as a niche biomedical modality. Despite highly desirable optical contrast and ultrasonic spatiotemporal resolution, PAI is challenged by such physical limitations low signal-to-noise ratio (SNR), diminished image due strong attenuation, lower-bound on spatial resolution in deep tissue. In addition, contrast-enhanced faced practical insufficient cell-specific targeting delivery efficiency difficulties developing clinically translatable agents. Identifying these essential the continuing expansion of field, substantial advances contrast-enhancing agents, complemented high-performance acquisition systems, have synergistically dealt with challenges conventional PAI. This review covers past four years research pushing terms SNR/contrast, targeted delivery, clinical application. Promising strategies for dealing each challenge are reviewed detail, future directions next generation discussed.

Language: Английский

Citations

122
Deep learning acceleration of multiscale superresolution localization photoacoustic imaging DOI Creative Commons
Jongbeom Kim, Gyuwon Kim, Lei Li

et al.

Light Science & Applications, Journal Year: 2022, Volume and Issue: 11(1)

Published: May 12, 2022

A superresolution imaging approach that localizes very small targets, such as red blood cells or droplets of injected photoacoustic dye, has significantly improved spatial resolution in various biological and medical modalities. However, this superior is achieved by sacrificing temporal because many raw image frames, each containing the localization target, must be superimposed to form a sufficiently sampled high-density image. Here, we demonstrate computational strategy based on deep neural networks (DNNs) reconstruct images from far fewer frames. The can applied for both 3D label-free optical-resolution microscopy (OR-PAM) 2D labeled computed tomography (PACT). For former, required number volumetric frames reduced tens than ten. latter, 12 fold. Therefore, our proposed method simultaneously (via DNN) method) resolutions tomography. Deep-learning powered PA potentially provide practical tool preclinical clinical studies requiring fast fine resolutions.

Language: Английский

Citations

84
Smart polydopamine-based nanoplatforms for biomedical applications: state-of-art and further perspectives DOI
Hongwei Xu, Ying Zhang, Haotian Zhang

et al.

Coordination Chemistry Reviews, Journal Year: 2023, Volume and Issue: 488, P. 215153 - 215153

Published: April 27, 2023

Language: Английский

Citations

84
Simultaneous photoacoustic and ultrasound imaging: A review DOI

Yinshi Yu,

Ting Feng, Haixia Qiu

et al.

Ultrasonics, Journal Year: 2024, Volume and Issue: 139, P. 107277 - 107277

Published: Feb. 28, 2024

Language: Английский

Citations

25
Another decade of photoacoustic imaging DOI
Dhiman Das, Arunima Sharma, Praveenbalaji Rajendran

et al.

Physics in Medicine and Biology, Journal Year: 2020, Volume and Issue: 66(5), P. 05TR01 - 05TR01

Published: Dec. 23, 2020

Abstract Photoacoustic imaging—a hybrid biomedical imaging modality finding its way to clinical practices. Although the photoacoustic phenomenon was known more than a century back, only in last two decades it has been widely researched and used for applications. In this review we focus on development progress of technology decade (2011–2020). From becoming user friendly, cheaper cost, portable size, promises wide range applications, if translated clinic. The growth community is steady, with several new directions researchers are exploring, inevitable that will one day establish itself as regular system

Language: Английский

Citations

119
Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning DOI
Anthony DiSpirito, Daiwei Li, Tri Vu

et al.

IEEE Transactions on Medical Imaging, Journal Year: 2020, Volume and Issue: 40(2), P. 562 - 570

Published: Oct. 16, 2020

One primary technical challenge in photoacoustic microscopy (PAM) is the necessary compromise between spatial resolution and imaging speed. In this study, we propose a novel application of deep learning principles to reconstruct undersampled PAM images transcend trade-off We compared various convolutional neural network (CNN) architectures, selected Fully Dense U-net (FD U-net) model that produced best results. To mimic undersampling conditions practice, artificially downsampled fully-sampled mouse brain vasculature at different ratios. This allowed us not only definitively establish ground truth, but also train test our conditions. Our results numerical analysis have collectively demonstrated robust performance with as few 2% original pixels, which can effectively shorten time without substantially sacrificing image quality.

Language: Английский

Citations

115
THz Pulsed Imaging in Biomedical Applications DOI Creative Commons
Annalisa D’Arco, Marta Di Fabrizio,

Valerio Dolci

et al.

Condensed Matter, Journal Year: 2020, Volume and Issue: 5(2), P. 25 - 25

Published: April 1, 2020

Recent advances in technology have allowed the production and coherent detection of sub-ps pulses terahertz (THz) radiation. Therefore, potentialities this technique been readily recognized for THz spectroscopy imaging biomedicine. In particular, pulsed (TPI) has rapidly increased its applications last decade. paper, we present a short review TPI, discussing basic principles performances, state-of-the-art on biomedical systems.

Language: Английский

Citations

98
3D PHOVIS: 3D photoacoustic visualization studio DOI Creative Commons
Seonghee Cho,

Jinwoo Baik,

Ravi Managuli

et al.

Photoacoustics, Journal Year: 2020, Volume and Issue: 18, P. 100168 - 100168

Published: March 10, 2020

Photoacoustic (PA) imaging (or optoacoustic imaging) is a novel biomedical method in biological and medical research. This modality performs morphological, functional, molecular with without labels both microscopic deep tissue domains. A variety of innovations have enhanced 3D PA performance thus has opened new opportunities preclinical clinical imaging. However, the visualization tools for images remains challenge. There are several commercially available software packages to visualize generated images. They generally expensive, their features not optimized Here, we demonstrate specialized package, namely Visualization Studio (3D PHOVIS), specifically targeting photoacoustic data, image, processes. To support research environment fast processing, incorporated PHOVIS onto MATLAB graphical user interface developed multi-core graphics processing unit modules processing. The includes following modules: (1) mosaic volume generator, (2) scan converter optical scanning microscopy, (3) skin profile estimator depth encoder, (4) multiplanar viewer navigation map, (5) renderer movie maker. paper discusses algorithms present package demonstrates functions. In addition, applicability this ultrasound coherence tomography also investigated. User manuals application files free on website (www.boa-lab.com). Core functions as result summer class at POSTECH, "High-Performance Algorithm CPU/GPU/DSP, Computer Architecture." We believe our provides unique tool researchers, expedites its growth, attracts broad interests wide range studies.

Language: Английский

Citations

92
Multi-Channel Transfer Learning of Chest X-ray Images for Screening of COVID-19 DOI Open Access
Sampa Misra, Seungwan Jeon, Ben Seiyon Lee

et al.

Electronics, Journal Year: 2020, Volume and Issue: 9(9), P. 1388 - 1388

Published: Aug. 27, 2020

The 2019 novel coronavirus (COVID-19) has spread rapidly all over the world. standard test for screening COVID-19 patients is polymerase chain reaction test. As this method time consuming, as an alternative, chest X-rays may be considered quick screening. However, specialization required to read X-ray images they vary in features. To address this, we present a multi-channel pre-trained ResNet architecture facilitate diagnosis of X-ray. Three ResNet-based models were retrained classify one-against-all basis from (a) normal or diseased, (b) pneumonia non-pneumonia, and (c) non-COVID19 individuals. Finally, these three ensembled fine-tuned using 1579 normal, 4245 pneumonia, 184 individuals cases one-against-one framework. Our results show that ensemble model more accurate than single it extracts relevant semantic features each class. provides precision 94% recall 100%. It could potentially help clinicians COVID-19, thus facilitating immediate triaging treatment better outcomes.

Language: Английский

Citations

89
High-speed photoacoustic microscopy: A review dedicated on light sources DOI Creative Commons
Soon‐Woo Cho, Sang Min Park, Byullee Park

et al.

Photoacoustics, Journal Year: 2021, Volume and Issue: 24, P. 100291 - 100291

Published: Aug. 6, 2021

In recent years, many methods have been investigated to improve imaging speed in photoacoustic microscopy (PAM). These mainly focused upon three critical factors contributing fast PAM: laser pulse repetition rate, scanning speed, and computing power of the microprocessors. A high rate is fundamentally most crucial factor increase PAM speed. this paper, we review adopted for systems detail, specifically with respect light sources. To best our knowledge, ours first article analyzing fundamental requirements developing high-speed their limitations from perspective

Language: Английский

Citations

85