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This invention outlines a method for diagnosing stroke by analyzing a patient's brain images. It involves taking two distinct brain scans—one optimized to show damaged brain tissue (infarct) and another for at-risk tissue (penumbra)—and identifying these regions. These identified regions are then overlaid onto a personalized brain map, which can depict anatomical structures, blood supply, or vessels. The method specifically focuses on determining how the infarct and penumbra areas overlap with these brain structures and allows for adjusting their boundaries.
Why it matters: Filed before modern deep learning and AI models could automate and significantly improve the accuracy of medical image segmentation, atlas mapping, and real-time analysis. These advancements make the determination and delineation steps far more robust and efficient now.
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