Systems and methods for image data acquisition

This invention describes a system that uses a machine learning model to analyze a person's physiological data, such as their breathing or heart rate. The model generates a "gating weighting function" from this data. This function is then applied to original image data, which was captured at the same time as the physiological data, to produce a final, refined image.

Why it matters: Filed as machine learning models for physiological signal processing were rapidly advancing. Training robust models for real-time medical image gating has likely improved significantly since 2023.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedPhysiological sensors, imaging device, trained ML model, software logic

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