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AssigneeHeartFlow, Inc.
InventorsLeo Grady, Michiel Schaap, Edward Karl Hahn, III
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Systems and methods are disclosed for determining anatomy directly from raw medical acquisitions using a machine learning system. One method includes obtaining raw medical acquisition data from transmission and collection of energy and particles traveling through and originating from bodies of one or more individuals; obtaining a parameterized model associated with anatomy of each of the one or more individuals; determining one or more parameters for the parameterized model, wherein the parameters are associated with the raw medical acquisition data; training a machine learning system to predict one or more values for each of the determined parameters of the parametrized model, based on the raw medical acquisition data; acquiring a medical acquisition for a selected patient; and using the trained machine learning system to determine a parameter value for a patient-specific parameterized model of the patient.
A computer-implemented method for determining anatomy from raw medical acquisition data, the method comprising:
A system for determining anatomy from raw medical acquisition data, comprising:
A non-transitory computer-readable medium comprising instructions for determining anatomy from raw medical acquisition data, the instructions executable by one or more processors to perform operations, including:
Dependencies are inferred from the claim text.