[HTML][HTML] Full-view in vivo skin and blood vessels profile segmentation in photoacoustic imaging based on deep learning

CD Ly, TH Vo, S Mondal, S Park, J Choi, TTH Vu… - Photoacoustics, 2022 - Elsevier
Photoacoustic (PA) microscopy allows imaging of the soft biological tissue based on optical
absorption contrast and spatial ultrasound resolution. One of the major applications of PA …

Hybrid deep learning network for vascular segmentation in photoacoustic imaging

AY Yuan, Y Gao, L Peng, L Zhou, J Liu… - Biomedical Optics …, 2020 - opg.optica.org
Photoacoustic (PA) technology has been used extensively on vessel imaging due to its
capability of identifying molecular specificities and achieving high optical-diffraction-limited …

[HTML][HTML] Semantic segmentation of multispectral photoacoustic images using deep learning

M Schellenberg, KK Dreher, N Holzwarth, F Isensee… - Photoacoustics, 2022 - Elsevier
Photoacoustic (PA) imaging has the potential to revolutionize functional medical imaging in
healthcare due to the valuable information on tissue physiology contained in multispectral …

Segmentation and quantitative analysis of photoacoustic imaging: a review

TD Le, SY Kwon, C Lee - Photonics, 2022 - mdpi.com
Photoacoustic imaging is an emerging biomedical imaging technique that combines optical
contrast and ultrasound resolution to create unprecedented light absorption contrast in deep …

Segmentation of vessel structures from photoacoustic images with reliability assessment

P Raumonen, T Tarvainen - Biomedical optics express, 2018 - opg.optica.org
Photoacoustic imaging enables the imaging of soft biological tissue with combined optical
contrast and ultrasound resolution. One of the targets of interest is tissue vasculature …

[HTML][HTML] A sparse deep learning approach for automatic segmentation of human vasculature in multispectral optoacoustic tomography

NK Chlis, A Karlas, NA Fasoula, M Kallmayer… - Photoacoustics, 2020 - Elsevier
Abstract Multispectral Optoacoustic Tomography (MSOT) resolves oxy-(HbO 2) and deoxy-
hemoglobin (Hb) to perform vascular imaging. MSOT suffers from gradual signal attenuation …

Deep Learning‐Based Optical‐Resolution Photoacoustic Microscopy for In Vivo 3D Microvasculature Imaging and Segmentation

H Zhao, J Huang, Q Zhou, N Chen, L Liu… - Advanced Intelligent …, 2022 - Wiley Online Library
Optical‐resolution photoacoustic microscopy (OR‐PAM) technique is a noninvasive imaging
technique that can be used to obtain high‐resolution images. This technique does not …

Deep-learning image reconstruction for real-time photoacoustic system

MW Kim, GS Jeng, I Pelivanov… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Recent advances in photoacoustic (PA) imaging have enabled detailed images of
microvascular structure and quantitative measurement of blood oxygenation or perfusion …

Deep learning enhanced volumetric photoacoustic imaging of vasculature in human

W Zheng, H Zhang, C Huang, V Shijo, C Xu… - Advanced …, 2023 - Wiley Online Library
The development of high‐performance imaging processing algorithms is a core area of
photoacoustic tomography. While various deep learning based image processing …

O-Net: a convolutional neural network for quantitative photoacoustic image segmentation and oximetry

GP Luke, K Hoffer-Hawlik, AC Van Namen… - arXiv preprint arXiv …, 2019 - arxiv.org
Estimation of blood oxygenation with spectroscopic photoacoustic imaging is a promising
tool for several biomedical applications. For this method to be quantitative, it relies on an …