ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023
Deep Learning Enhanced Volumetric Photoacoustic Imaging of Vasculature in Human.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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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.
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Who cites it
25 citing papers in PubMed, 32 citations in OpenAlex.
- Real-time deep learning-based vascular recognition in clinical breast photoacoustic imaging.Photoacoustics · 2026Article
- A Model-Based Joint Feature Fusion framework for limited-view photoacoustic tomography reconstruction.Photoacoustics · 2026Article
- Closing the Loop: High-Precision 3D Photofabrication in Living Tissues.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- A single-view-based electroacoustic tomography imaging using deep learning for electroporation monitoring.Medical physics · 2026Article
- Robust hybrid feature-driven on-the-fly mapping enables freehand 3D panoramic photoacoustic angiography.Light, science & applications · 2026Article
- Progressive dual-branch adversarial diffusion for sparse-view photoacoustic tomography reconstruction.Photoacoustics · 2026Article
- Amplified Light Absorption with Nanomaterials for Enhanced Photoacoustic Imaging in Biomedical Research: A Review.Bioengineering (Basel, Switzerland) · 2026Review
- A Deep Learning-Based Correction for Scanning Radius Errors in Circular-Scan Photoacoustic Tomography.Journal of imaging · 2026Article
- Computer vision applications in vascular surgery: a systematic review and critical appraisal.NPJ digital medicine · 2026Article
- A Deep Transfer Learning Framework for Speed-of-Sound Aberration Correction in Full-Ring Photoacoustic Tomography.Sensors (Basel, Switzerland) · 2026Article
- Panoramic photoacoustic computed tomography with learning-based classification enhances breast lesion characterization.Nature biomedical engineering · 2026Article
- SlingBAG: point cloud-based iterative algorithm for large-scale 3D photoacoustic imaging.Nature communications · 2025Article
- Radiomics-driven perfusion prediction in clinical photoacoustic foot imaging.Photoacoustics · 2025Article
- OneTouch Automated Photoacoustic and Ultrasound Imaging of Breast in Standing Pose.IEEE transactions on medical imaging · 2025Article
- Multiview linear-array photoacoustic computed tomography with improved elevational resolution in 3D.Biomedical optics express · 2025Article
- Review of Pulsation Signal Detection and Applications in Dynamic Photoacoustic Imaging.Biosensors · 2025Review
- Mapping the arterial vascular network in an intact human kidney using hierarchical phase-contrast tomography.Npj imaging · 2025Article
- Residual-conditioned sparse transformer for photoacoustic image artifact reduction.Photoacoustics · 2025Article
- Iterative optimization algorithm with structural prior for artifacts removal of photoacoustic imaging.Photoacoustics · 2025Article
- Enhanced clinical photoacoustic vascular imaging through a skin localization network and adaptive weighting.Photoacoustics · 2025Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
The development of high-performance imaging processing algorithms is a core area of photoacoustic tomography. While various deep learning based image processing techniques have been developed in the area, their applications in 3D imaging are still limited due to challenges in computational cost and memory allocation. To address those limitations, this work implements a 3D fully-dense (3DFD) U-net to linear array based photoacoustic tomography and utilizes volumetric simulation and mixed precision training to increase efficiency and training size. Through numerical simulation, phantom imaging, and in vivo experiments, this work demonstrates that the trained network restores the true object size, reduces the noise level and artifacts, improves the contrast at deep regions, and reveals vessels subject to limited view distortion. With these enhancements, 3DFD U-net successfully produces clear 3D vascular images of the palm, arms, breasts, and feet of human subjects. These enhanced vascular images offer improved capabilities for biometric identification, foot ulcer evaluation, and breast cancer imaging. These results indicate that the new algorithm will have a significant impact on preclinical and clinical photoacoustic tomography.
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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.