ArticleMolecular imaging2022
Compressed Sensing Photoacoustic Imaging Reconstruction Using Elastic Net Approach.
Article in Molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- A Comparison of Image Reconstruction Methods for Ring-Array Photoacoustic Computed Tomography.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2025Article
- Compressed Sensing for Biomedical Photoacoustic Imaging: A Review.Sensors (Basel, Switzerland) · 2024Review
- Compressed sensing of human breast optical coherence 3-D image volume data using predictive coding.Biomedical optics express · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Photoacoustic imaging involves reconstructing an estimation of the absorbed energy density distribution from measured ultrasound data. The reconstruction task based on incomplete and noisy experimental data is usually an ill-posed problem that requires regularization to obtain meaningful solutions. The purpose of the work is to propose an elastic network (EN) model to improve the quality of reconstructed photoacoustic images. To evaluate the performance of the proposed method, a series of numerical simulations and tissue-mimicking phantom experiments are performed. The experiment results indicate that, compared with the
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Registered trials
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