Rules-based approach for processing medical images

This invention describes a system that automatically processes medical images, specifically comparing images taken before and after a contrast agent is injected into a patient. It uses rules, which a doctor can customize or create, to identify and highlight areas of interest, like lesions, in different colors. Once taught with sample images, the system applies these specific rules for that doctor to all subsequent images, saving time and effort.

Why it matters: Filed before the rise of advanced machine learning. The claims describe a rules-based system, but today, AI could learn and apply doctor preferences for contrast image analysis with far greater sophistication and accuracy.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, medical image processing

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