ArticleIEEE transactions on medical imaging2022
Three-Dimensional Deep-Tissue Functional and Molecular Imaging by Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT).
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 12 papers.
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The trial behind it
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Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- 3D-PAULM: Integrated Photoacoustic Tomography and Ultrasound Localization Microscopy for Multiparametric Brain and Tumor Imaging.bioRxiv : the preprint server for biology · 2026Article
- Sound of nurturing: Advanced photoacoustic and ultrasound imaging of placental hemodynamics.Placenta · 2026Article
- Unified linear-concave transducer enabling 100 Hz plane-wave ultrasound and photoacoustic dynamic imaging.Biomedical optics express · 2025Article
- Cross-regional real-time visualization of systemic physiology and dynamics with 3D panoramic photoacoustic computed tomography (3D-PanoPACT).Nature communications · 2025Article
- Molecular imaging using (nano)probes: cutting-edge developments and clinical challenges in diagnostics.RSC advances · 2025Review
- Quantitative photoacoustic imaging algorithm using sparse decomposition for photoacoustic and ultrasound dual-mode imaging.Biomedical optics express · 2025Article
- Three-dimensional diffractive acoustic tomography.Nature communications · 2025Article
- Deep tissue photoacoustic imaging with light and sound.Npj imaging · 2024Review
- Multiscale photoacoustic tomography using reversibly switchable thermochromics.Journal of biomedical optics · 2023Article
- Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke.Journal of visualized experiments : JoVE · 2023Article
- Three-dimensional non-invasive brain imaging of ischemic stroke by integrated photoacoustic, ultrasound and angiographic tomography (PAUSAT).Photoacoustics · 2023Article
- Nanoscale Contrast Agents for Ultrasound Imaging of Musculoskeletal System.Diagnostics (Basel, Switzerland) · 2022Review
Corrections and comments
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Authors and funding
17 authors at 4 institutions in 1 country.
Funding
Abstract
Non-invasive small-animal imaging technologies, such as optical imaging, magnetic resonance imaging and x -ray computed tomography, have enabled researchers to study normal biological phenomena or disease progression in their native conditions. However, existing small-animal imaging technologies often lack either the penetration capability for interrogating deep tissues (e.g., optical microscopy), or the functional and molecular sensitivity for tracking specific activities (e.g., magnetic resonance imaging). To achieve functional and molecular imaging in deep tissues, we have developed an integrated photoacoustic, ultrasound and acoustic angiographic tomography (PAUSAT) system by seamlessly combining light and ultrasound. PAUSAT can perform three imaging modes simultaneously with complementary contrast: high-frequency B-mode ultrasound imaging of tissue morphology, microbubble-enabled acoustic angiography of tissue vasculature, and multi-spectral photoacoustic imaging of molecular probes. PAUSAT can provide three-dimensional (3D) multi-contrast images that are co-registered, with high spatial resolutions at large depths. Using PAUSAT, we performed proof-of-concept in vivo experiments on various small animal models: monitoring longitudinal development of placenta and embryo during mouse pregnancy, tracking biodistribution and metabolism of near-infrared organic dye on the whole-body scale, and detecting breast tumor expressing genetically-encoded photoswitchable phytochromes. These results have collectively demonstrated that PAUSAT has broad applicability in biomedical research, providing comprehensive structural, functional, and molecular imaging of small animal models.
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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.