ArticlePhotoacoustics2018
The application of frequency-domain photoacoustics to temperature-dependent measurements of the Grüneisen parameter in lipids.
Article in Photoacoustics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- OpenQPAIData: Measurements of test objects with reference labels for quantitative photoacoustic imaging research.Scientific data · 2026Article
- Design and Implementation of an Ultra-Wideband Water Immersion Antenna for Underwater Ultrasonic Sensing in Microwave-Induced Thermoacoustic Tomography.Sensors (Basel, Switzerland) · 2024Article
- Ultrasound Control of Pickering Emulsion-Based Capsule Preparation.Sensors (Basel, Switzerland) · 2024Article
- Frequency-Resolved High-Frequency Broadband Measurement of Acoustic Longitudinal Waves by Laser-Based Excitation and Detection.Sensors (Basel, Switzerland) · 2024Article
- Target ischemic stroke model creation method using photoacoustic microscopy with simultaneous vessel monitoring and dynamic photothrombosis induction.Photoacoustics · 2022Article
- Truncated correlation photoacoustic coherence tomography: An axial resolution enhancement imaging modality.Photoacoustics · 2021Article
- A Ceramic PZT-based PMUT Array for Endoscopic Photoacoustic Imaging.Journal of microelectromechanical systems : a joint IEEE and ASME publication on microstructures, microactuators, microsensors, and microsystems · 2020Article
- 3D PHOVIS: 3D photoacoustic visualization studio.Photoacoustics · 2020Article
- Research on the Temperature Characteristics of the Photoacoustic Sensor of Glucose Solution.Sensors (Basel, Switzerland) · 2018Article
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5 authors.
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Abstract
The Grüneisen parameter is an essential factor in biomedical photoacoustic (PA) diagnostics. In most PA imaging applications, the variation of the Grüneisen parameter with tissue type is insignificant. This is not the case for PA imaging and characterization of lipids, as they have a very distinct Grüneisen parameter compared with other tissue types. One example of PA applications involving lipids is the imaging and characterization of atherosclerotic plaques. Intravascular photoacoustic (IVPA) imaging is a promising diagnostic tool that can evaluate both plaque severity and composition. The literature for IVPA has mainly focused on using the difference in absorption coefficients between plaque components and healthy arterial tissues. However, the Grüneisen parameters for lipids and their behavior with temperature have not been well established in the literature. In this study we employ frequency-domain photoacoustic measurements to estimate the Grüneisen parameter by virtue of the ability of this modality to independently measure
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