Join Professor Annarosa Arcangeli as she discusses the use of multi-modal imaging to detect and monitor pancreatic and liver tumors.
In oncology, optical imaging provides only one piece of the puzzle, with new methods and approaches continually being developed to provide additional information. In the first episode of the Vevo 4 Oncology Web Series, Prof. Arcangeli discusses a new and powerful, high resolution multi-modal imaging solution that combines ultra high frequency ultrasound and photoacoustic imaging. Several applications of this system are presented, including tumor/polyp detection and sizing in 2D and 3D, detection and monitoring of tumor growth and angiogenesis, as well as others.
Key Topics Include:
- Tumor cell guided injection
- Tumor/polyp detection and sizing in 2D and 3D
- Detection and monitoring of tumor growth and angiogenesis
- Pancreatic tumor perfusion and volume quantification
- Contrast-enhanced imaging of biomarkers
- Coregistration of ultra-high-resolution ultrasound and photoacoustic imaging to detect tumor oxygen saturation
Presenters
Professor
Department of Experimental and Clinical Medicine
University of Firenze, Italy
For almost thirty years, Dr. Arcangeli has been involved in studies aimed at defining the biophysical aspects of intracellular signaling by controlling cell growth and differentiation of tumor cells. She contributed to unravel the action mechanism of widely used inducers of tumor cell differentiation, such as the "hybrid polar compounds" (HPC). She also focused on the role of potassium channels, in particular, the hERG1 channel, in the governance of the resting potential, cellular ionic homeostasis and cell signaling in normal and cancer cells.
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.
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Dr. Valeria Grasso describes a novel unsupervised Machine-Learning method named Superpixel Photoacoustic Unmixing (SPAX) framework.
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