ReviewVisual computing for industry, biomedicine, and art2020
Recent advances in applications of multimodal ultrasound-guided photoacoustic imaging technology.
Review in Visual computing for industry, biomedicine, and art, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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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
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evolution in optical molecular imaging techniques guided nerve imaging from 2009 to 2023: a bibliometric and visualization analysis.Frontiers in neurology · 2024Pooled it
- Intelligent Algorithm-Based Ultrasound Image for Evaluating the Effect of Comprehensive Nursing Scheme on Patients with Diabetic Kidney Disease.Computational and mathematical methods in medicine · 2022Trial
- 4D nanoimaging-guided smart therapeutics: spatiotemporal control of disease microenvironments.RSC advances · 2026Review
- Vascular changes and their implications in lipedema.Frontiers in cell and developmental biology · 2026Review
- Recent advances in photoacoustic-ultrasound dual-modality fusion imaging for functional visualization of the superficial tumor microenvironment.Oncology reviews · 2026Review
- Dual-modality ultrasound/photoacoustic tomography for mapping tissue oxygen saturation distribution in intestinal strangulation.Photoacoustics · 2025Article
- A comprehensive review on nanoparticle-based photo acoustic: current application and future prospective.Discover nano · 2024Review
- In vivo quantitative characterization of nano adjuvant transport in the tracheal layer by photoacoustic imaging.Biomedical optics express · 2024Article
- Dual-modal Photoacoustic and Ultrasound Imaging: from preclinical to clinical applications.Frontiers in photonics · 2024Article
- Indocyanine Green-Loaded Nanobubbles Targeting Carbonic Anhydrase IX for Multimodal Imaging of Renal Cell Carcinoma.International journal of nanomedicine · 2023Article
- Advances in optical molecular imaging for neural visualization.Frontiers in bioengineering and biotechnology · 2023Review
- Intraoperative fluorescence molecular imaging accelerates the coming of precision surgery in China.European journal of nuclear medicine and molecular imaging · 2022Review
- Dual-Mode Tumor Imaging Using Probes That Are Responsive to Hypoxia-Induced Pathological Conditions.Biosensors · 2022Review
- Nanomedicine in Oncocardiology: Contribution and Perspectives of Preclinical Studies.Frontiers in cardiovascular medicine · 2021Review
- Advancements in Imaging Technologies and AI Integration for Neurodegenerative Disease Management: A Narrative Review.Molecular imagingReview
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Photoacoustic imaging (PAI) is often performed simultaneously with ultrasound imaging and can provide functional and cellular information regarding the tissues in the anatomical markers of the imaging. This paper describes in detail the basic principles of photoacoustic/ultrasound (PA/US) imaging and its application in recent years. It includes near-infrared-region PA, photothermal, photodynamic, and multimode imaging techniques. Particular attention is given to the relationship between PAI and ultrasonic imaging; the latest high-frequency PA/US imaging of small animals, which involves not only B-mode, but also color Doppler mode, power Doppler mode, and nonlinear imaging mode; the ultrasonic model combined with PAI, including the formation of multimodal imaging; the preclinical imaging methods; and the most effective detection methods for clinical research for the future.
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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.