De-noising of photoacoustic microscopy images by attentive generative adversarial network

D He, J Zhou, X Shang, X Tang, J Luo… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
As a hybrid imaging technology, photoacoustic microscopy (PAM) imaging suffers from
noise due to the maximum permissible exposure of laser intensity, attenuation of ultrasound …

[HTML][HTML] Improving needle visibility in LED-based photoacoustic imaging using deep learning with semi-synthetic datasets

M Shi, T Zhao, SJ West, AE Desjardins, T Vercauteren… - Photoacoustics, 2022 - Elsevier
Photoacoustic imaging has shown great potential for guiding minimally invasive procedures
by accurate identification of critical tissue targets and invasive medical devices (such as …

[HTML][HTML] Signal domain adaptation network for limited-view optoacoustic tomography

AK Susmelj, B Lafci, F Ozdemir, N Davoudi… - Medical Image …, 2024 - Elsevier
Optoacoustic (OA) imaging is based on optical excitation of biological tissues with
nanosecond-duration laser pulses and detection of ultrasound (US) waves generated by …

Laser diode photoacoustic point source detection: machine learning-based denoising and reconstruction

V Vousten, H Moradi, Z Wu, EM Boctor… - Optics …, 2023 - opg.optica.org
A new development in photoacoustic (PA) imaging has been the use of compact, portable
and low-cost laser diodes (LDs), but LD-based PA imaging suffers from low signal intensity …

Feasibility of a generative adversarial network for artifact removal in experimental photoacoustic imaging

H Shahid, A Khalid, Y Yue, X Liu, D Ta - Ultrasound in Medicine & Biology, 2022 - Elsevier
Photoacoustic tomography (PAT) reconstruction is an expeditiously growing interest among
biomedical researchers because of its possible transition from laboratory to clinical pre …

[HTML][HTML] Altered gene expression profiles in the lungs of benzo [a] pyrene-exposed mice in the presence of lipopolysaccharide-induced pulmonary inflammation

Q Shi, RR Fijten, D Spina, YR Vasquez, VM Arlt… - Toxicology and applied …, 2017 - Elsevier
Patients with inflammatory lung diseases are often additionally exposed to polycyclic
aromatic hydrocarbons like B [a] P and B [a] P-induced alterations in gene expression in …

Unsupervised photoacoustic tomography image reconstruction from limited-view unpaired data using an improved CycleGAN

H Hakimnejad, Z Azimifar… - 2023 28th International …, 2023 - ieeexplore.ieee.org
Photoacoustic tomography (PAT) is a hybrid imaging method with great applications in
preclinical research and clinical applications. However, due to the limited-view issue, it is …

Deep learning framework for three-dimensional surface reconstruction of object of interest in photoacoustic tomography

S Zheng, L Lu, H Yingsa, S Meichen - Optics Express, 2024 - opg.optica.org
Photoacoustic tomography (PAT) is a non-ionizing hybrid imaging technology of clinical
importance that combines the high contrast of optical imaging with the high penetration of …

[HTML][HTML] AAR-Net: 用于声学异质介质光声图像重建的深度神经网络

孙美晨, 孙正, 候英飒 - 智能系统学报, 2023 - html.rhhz.net
在光声成像中, 由于组织的吸收和扩散等引起的超声波衰减, 由声速变化引起的相位偏差以及与
声衰减相关的信号波形展宽都会降低图像的空间分辨率, 针对该问题, 提出一种基于深度学习的 …

IRR‐Net: A Joint Learning Framework for Image Reconstruction and Recognition of Photoacoustic Tomography

Z Sun, B Ai, M Sun, Y Hou - IET Signal Processing, 2023 - Wiley Online Library
In photoacoustic tomography (PAT), object identification and classification are usually
performed as postprocessing processes after image reconstruction. Since useful information …