ArticleIEEE transactions on medical imaging2022
Deep-E: A Fully-Dense Neural Network for Improving the Elevation Resolution in Linear-Array-Based Photoacoustic Tomography.
Article in IEEE transactions on medical imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Physics-driven deep learning photoacoustic tomography.Fundamental research · 2026Article
- 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
- Model-informed deep-learning photoacoustic reconstruction for low-element linear array.Photoacoustics · 2025Article
- Image restoration for ring-array photoacoustic tomography based on an attention mechanism driven conditional generative adversarial network.Photoacoustics · 2025Article
- Enhanced clinical photoacoustic vascular imaging through a skin localization network and adaptive weighting.Photoacoustics · 2025Article
- Three-dimensional diffractive acoustic tomography.Nature communications · 2025Article
- Unsupervised denoising of photoacoustic images based on the Noise2Noise network.Biomedical optics express · 2024Article
- Challenges and advances in two-dimensional photoacoustic computed tomography: a review.Journal of biomedical optics · 2024Review
- Dual-modal Photoacoustic and Ultrasound Imaging: from preclinical to clinical applications.Frontiers in photonics · 2024Article
- Photoacoustic imaging plus X: a review.Journal of biomedical optics · 2024Review
- Dual-Scan Photoacoustic Tomography for the Imaging of Vascular Structure on Foot.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2023Article
- Deep Learning Enhanced Volumetric Photoacoustic Imaging of Vasculature in Human.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke.Journal of visualized experiments : JoVE · 2023Article
- Photoacoustic imaging with limited sampling: a review of machine learning approaches.Biomedical optics express · 2023Review
- Three-dimensional non-invasive brain imaging of ischemic stroke by integrated photoacoustic, ultrasound and angiographic tomography (PAUSAT).Photoacoustics · 2023Article
- Deep-E Enhanced Photoacoustic Tomography Using Three-Dimensional Reconstruction for High-Quality Vascular Imaging.Sensors (Basel, Switzerland) · 2022Article
- Semantic segmentation of multispectral photoacoustic images using deep learning.Photoacoustics · 2022Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Linear-array-based photoacoustic tomography has shown broad applications in biomedical research and preclinical imaging. However, the elevational resolution of a linear array is fundamentally limited due to the weak cylindrical focus of the transducer element. While several methods have been proposed to address this issue, they have all handled the problem in a less time-efficient way. In this work, we propose to improve the elevational resolution of a linear array through Deep-E, a fully dense neural network based on U-net. Deep-E exhibits high computational efficiency by converting the three-dimensional problem into a two-dimension problem: it focused on training a model to enhance the resolution along elevational direction by only using the 2D slices in the axial and elevational plane and thereby reducing the computational burden in simulation and training. We demonstrated the efficacy of Deep-E using various datasets, including simulation, phantom, and human subject results. We found that Deep-E could improve elevational resolution by at least four times and recover the object's true size. We envision that Deep-E will have a significant impact in linear-array-based photoacoustic imaging studies by providing high-speed and high-resolution image enhancement.
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