Systems and methods for medical acquisition processing and machine learning for anatomical assessment

Number of patents in Portfolio can not be more than 2000

United States of America

PATENT NO 12223649
APP PUB NO 20240070863A1
SERIAL NO

18502344

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Abstract

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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.

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Patent Owner(s)

  • HEARTFLOW, INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Grady, Leo Darien, US 299 4686
Hahn,, III Edward Karl Foster City, US 8 121
Schaap, Michiel Oegstgeest, NL 111 2534

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