VisualSonics presents the first episode of their Vevo 4 Photoacoustics Web Series.
Combined Near Infrared Photoacoustic Imaging and Ultrasound Detects Vulnerable Atherosclerotic Plaque with Martin Schneider, MD, PhD from Stanford University.
Key Topics Include:
- Visualization of atherosclerotic plaque components with high-frequency ultrasound and photoacoustics
- Identification of photoacoustic biomarkers for atherosclerosis
- Distinguishing stable from vulnerable plaques
- Clinical significance of novel photoacoustic-detection methods
Who Should Attend?
Open to those studying vascular diseases or those interested in learning about new methods of non-invasive molecular imaging (all educational/experience levels are invited).
Presenters
Postdoctoral Fellow
Radiology
Stanford University School of Medicine
Martin Schneider joined the Gambhir Lab at Stanford in 2019 where he worked on optical phantoms and clinical photoacoustic imaging trials. He received the Cardiovascular Award from FUJIFILM VisualSonics.
Webinar Host
FUJIFILM VisualSonics Inc.
FUJIFILM VisualSonics designs and manufactures ultra high frequency in vivo imaging systems, for both research and clinical use. our ultrasound platform provides images at resolutions that far exceed any other system available on the market. Beyond ultrasound, we have also developed a unique photoacoustic technology to expand on the capabilities of our imaging solutions.
Additional Content From FUJIFILM VisualSonics Inc.
Photoacoustic Imaging in Angiotensin II Induced Cardiac Hypertrophy Mice
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Dr. Mukund Seshadri presents his interdisciplinary research on developing and evaluating ultrasound and photoacoustic imaging for oral oncology applications, with a focus on the prognostic utility of these methods in assessing treatment responses in head and neck cancer patients.
Superpixel Unmixing Algorithm from Micro to Macro Photoacoustic Imaging of Tissue Components
Dr. Valeria Grasso describes a novel unsupervised Machine-Learning method named Superpixel Photoacoustic Unmixing (SPAX) framework.
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