Competitive Advantages
- Provides an effective biomarker for acute stroke from the infarcted volumes
- Detects and quantifies complex infarct volumes more effectively than traditional methods
- Establishes a rapid response to provide more effective therapeutic response
Summary
Measurement of infarcted brain volume from an acute ischemic stroke can prove difficult due to the various morphologies and complexities of brain lesions. These irregularities give inconsistencies with stroke detection and diagnosis. There is also a need for a biomarker involving cerebrovascular disease. The amount of data to gather, review, and interpret for a stroke is overwhelming, and current commercial neuroimaging stroke software such as RAPID-AI may not be effective for a rapid therapeutic response. A new artificial intelligience-based approach can provide quick and accurate predictions of infarcted tissue much faster than traditional CT scans. A process called semi-automatic image analysis will be used to visualize stroke volume. First, information will be extracted from brain images. That information is then repackaged as raw image data into MATLAB arrays for further image processing. From there, the program will detect potential volumes of ischemic stroke and intracerebral hemorrhage. The novel precise volumetric analysis and 3D-visualization will be used to allow for quicker therapeutic intervention. The program would ideally be used by physicians in hospitals.
Intracerebral infarcted volumes (shown in colored patches) can be measured using AI-enhanced image analysis
Desired Partnerships
- License
- Sponsored Research
- Co-Development