Accurate Assessment of Atherosclerosis for Effective Stroke Prevention

MRI-PlaqueView^TM: Assessing Atherosclerosis

MRI-PlaqueView^TM is an analysis software for vessel wall imaging that allows physicains to efficiently interpret magnetic resonance imaging (MRI) studies of carotid artery atherosclerosis. The software uses patented algorithms to generate measurements of plaque burden and plaque components, as well as 3D visualizations of plaque distribution.

MRI-PlaqueView^TM guides the user through a sequence of intuitive and highly optimized analysis steps. Within minutes, all vessel boundaries and internal plaque components are identified, multiple contrast weightings are aligned, and measurements of thickness, area, distance, and stenosis are recorded.

3D visualizations portray the plaque components not seen with MRI angiography, and the plaque visualizations are displayed in context with traditional MIP views of MRA data.

A report captures the key findings in a concise format to be readily used by vascular surgeons, neurologists, interventionalists, or cardiologists for patient management.

MRI-PlaqueView^TM is available with three packages, ranging from Burden Analysis, Plaque Analysis, to Auto Plaque Analysis, tailored to meet various customers' needs. MRI-PlaqueView^TM can be purchased on a per-use basis which requires less up-front payments, or with a product license without usage restrictions. For further information, please download MRI-PlaqueView^TM Brochure and contact us to arrange free demo and evaluaton.

VPDiagnostics is also leading an NIH-sponsored multi-center prospective clinical trial to evaluate a new diagnostic utility for use with MRI-PlaqueView^TM that will enable the prediction of future risk of stroke and related neurological complications based on plaque characteristics.

MRI-PlaqueView^TM History
MRI-PlaqueView^TM is the commercial outgrowth of the CASCADE (including MEPPS/QVAS) imaging package developed at the University of Washington Vascular Imaging Lab. These patented image analysis algorithms have been featured in around 50 journal publications, providing extensive validation of the accuracy, reproducibility and sensitivity of the core algorithms related to plaque characterization by MRI.