Every year, more than 795,000 people in the United States have a stroke. It is the fifth leading cause of death with costs estimated to be $34 billion each year, including the cost of health care services, medications to treat stroke, and missed days of work.
Early and fast diagnosis of stroke is extremely important. Patients treated within 3 hours of their first symptoms tend to have less disability 3 months after a stroke than those who received delayed care.
Since their clinical picture is highly diverse, the management of stroke patients is often suboptimal due to a lack of individualized diagnostics and treatment .
An imaging data analytics platform can pave the ground towards personalized risk calculation and individualized treatment plans, taking into account factors like brain anatomy, angioarchitecture, and hemodynamics, based on measurements derived from medical images.
With the help of our platform, brain images from different modalities can be registered together and seamlessly overlaid in a 3D explorable view; they can be swapped with a click of a button or a hand gesture while still holding the same view, allowing to identify areas of interest in one modality, and looking for further signs of stroke in a different one, without taking the eyes off the same brain area. This helps accelerate the research workflow for stroke.