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D. Geoffrey Vince Laboratory

❮Biomedical Engineering D. Geoffrey Vince Laboratory
  • D. Geoffrey Vince Laboratory
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Principal Investigator

D. Geoffrey Vince Headshot

D. Geoffrey Vince, PhD

Department Chair
The Virginia Lois Kennedy Endowed Chair in Biomedical Engineering and Applied Therapeutics
Executive Director, Innovations at Cleveland Clinic
Location: Cleveland Clinic Main Campus

Research

Each year, about 800,000 Americans have a new or recurrent stroke, or “brain attack.” Many strokes are caused by carotid stenosis, a build-up of plaque in the carotid arteries on either side of the neck that carry blood and oxygen to the brain; the result is brain damage and often other physical harm.

My team is developing software that analyzes ultrasound images. Different  colors in the ultrasound images indicate where the plaque is located, and how severe it is. Our goal is to provide a tool that will predict which patients are at greater risk of stroke, which will help the physician decide on the best way to treat it.


Biography


Education & Professional Highlights

Fellowship - Cleveland Clinic
Biomedical Engineering
Cleveland, OH USA
1995

Medical Education - University of Liverpool Faculty of Medicine
Clinical Engineering
Liverpool,
1989

Undergraduate - Leicester DeMontford University
Medical Sciences & Chemistry
1985

Research

Research

Stroke is a major cause of morbidity and mortality among patients with cardiovascular disease, and the leading cause of long-term disability in the United States. Current imaging modalities are primarily used to determine the severity of luminal stenosis caused by carotid plaque. However, cerebrovascular accidents (CVA) are often associated with the rupture of plaques from regions with non-significant luminal stenosis. Accurate identification of these high-risk, rupture-prone plaques could prevent CVA in a significant number of patients.

Plaque composition is an additional and perhaps more important risk factor for CVA. Unfortunately, in clinical implementation, duplex ultrasound images are not cost-effective, and are technically unreliable and often invasive.

There is  a clear unmet clinical need for a non-invasive, low-cost method to accurately characterize the composition of carotid plaques. My team is developing mathematical algorithms based upon quantitative ultrasound and acoustic radiation force impulse imaging that can better analyze ultrasound images of carotid arteries. The new system creates a spectrum in which different colors indicate where and how bad the plaque build-up is by using information from scattered ultrasound points during the creation of standard ultrasound images. Our goal is to provide a tool that will predict which patients are at increased risk for stroke.

Our Team

Our Team

Publications

Selected Publications

View publications for D. Geoffrey Vince, PhD
(Disclaimer: This search is powered by PubMed, a service of the U.S. National Library of Medicine. PubMed is a third-party website with no affiliation with Cleveland Clinic.)


Patents

Patents

US Patent Patent Title Issue Date First-Named Inventor
8,630,492 System and Method for Identifying a Vascular Border 01/14/2014 D. Geoffrey Vince, PhD
8,622,910 System and Method of Acquiring Blood-Vessel Data 01/04/2014 D. Geoffrey Vince, PhD
6,200,268 Vascular Plaque Characterization 03/13/2001 D. Geoffrey Vince, PhD

Research News

Research News

...
D. Geoffrey Vince, PhD, named to Cleveland State University Board of Trustees

Dr. Vince, an inventor and scientist, leads Cleveland Clinic Innovations and chairs the Department of Biomedical Engineering.



...
D. Geoffrey Vince, PhD, Appointed Executive Director of Cleveland Clinic Innovations

Dr. Vince will lead the commercialization arm of Cleveland Clinic, which turns medical breakthrough inventions into patient-benefiting medical products and companies.



...
Using Machine Learning to Better Assess Stroke Risk

With a new award from the Department of Defense, Dr. Vince will use non-invasive ultrasound and a novel artificial intelligence algorithm that predicts carotid artery plaque composition to detect patients at high risk of future stroke.



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