ArticleJournal of biophotonics2024
U-Net enhanced real-time LED-based photoacoustic imaging.
Article in Journal of biophotonics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 11 citations in OpenAlex.
- Atherosclerotic Plaque Characterization Magnetic Resonance Imaging In Vitro at 1.5 Tesla for the Assessment of Coronary Artery Disease.Journal of clinical medicine · 2026Article
- Efficient denoising in LED-based optoacoustic tomography with squeeze-and-excitation deep convolutional networks.Journal of biomedical optics · 2026Article
- Photoacoustic Microscopy for Multiscale Biological System Visualization and Clinical Translation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Identification of Cholesterol in Plaques of Atherosclerotic Using Magnetic Resonance Spectroscopy and 1D U-Net Architecture.Molecules (Basel, Switzerland) · 2026Article
- Reduction of photobleaching effects in photoacoustic imaging using noise agnostic, platform-flexible deep-learning methods.Journal of biomedical optics · 2025Article
- Custom-designed Verasonics-based multi-wavelength photoacoustic and ultrasound imaging: from technical advances to preclinical applications in cancer.Biomedical optics express · 2025Review
- Transformer-based optical attenuation compensation and denoising in photoacoustic imaging.Journal of biomedical optics · 2025Article
- Model-informed deep-learning photoacoustic reconstruction for low-element linear array.Photoacoustics · 2025Article
- Temporally delayed, dual-pulse, dual-wavelength photoacoustic imaging (TD-DP-DW-PAI): advancing capabilities of a commercial light-emitting diode-based photoacoustic imaging system with a pulsed laser diode.Biomedical optics express · 2025Article
- Multi-parametric Photoacoustic Imaging Combined with Acoustic Radiation Force Impulse Imaging for Applications in Tissue Engineering.Annals of biomedical engineering · 2025Article
- Enhancing signal-to-noise ratio in real-time LED-based photoacoustic imaging: A comparative study of CNN-based deep learning architectures.Photoacoustics · 2025Article
- Heterogeneous tumor blood oxygenation dynamics during phototherapy deciphered with real-time label-free photoacoustic imaging.NPJ acoustics · 2025Article
- Ultrasound-assisted aberration correction of transcranial photoacoustic imaging based on angular spectrum theory.Photoacoustics · 2024Article
- Enhancing photoacoustic imaging for lung diagnostics and BCI communication: simulation of cavity structures artifact generation and evaluation of noise reduction techniques.Frontiers in bioengineering and biotechnology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Photoacoustic (PA) imaging is hybrid imaging modality with good optical contrast and spatial resolution. Portable, cost-effective, smaller footprint light emitting diodes (LEDs) are rapidly becoming important PA optical sources. However, the key challenge faced by the LED-based systems is the low light fluence that is generally compensated by high frame averaging, consequently reducing acquisition frame-rate. In this study, we present a simple deep learning U-Net framework that enhances the signal-to-noise ratio (SNR) and contrast of PA image obtained by averaging low number of frames. The SNR increased by approximately four-fold for both in-class in vitro phantoms (4.39 ± 2.55) and out-of-class in vivo models (4.27 ± 0.87). We also demonstrate the noise invariancy of the network and discuss the downsides (blurry outcome and failure to reduce the salt & pepper noise). Overall, the developed U-Net framework can provide a real-time image enhancement platform for clinically translatable low-cost and low-energy light source-based PA imaging systems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.