- Patent Title: System and method for machine learning based mapping function of patient data from one physiological state to another based on computational fluid dynamics simulation of blood via offline training
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Application No.: US17070993Application Date: 2020-10-15
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Publication No.: US12089918B2Publication Date: 2024-09-17
- Inventor: Puneet Sharma , Lucian Mihai Itu , Saikiran Rapaka , Frank Sauer
- Applicant: SIEMENS HEALTHINEERS AG
- Applicant Address: DE Forchheim
- Assignee: Siemens Healthineers AG
- Current Assignee: Siemens Healthineers AG
- Current Assignee Address: DE Forchheim
- The original application number of the division: US14599678 2015.01.19
- Main IPC: A61B5/02
- IPC: A61B5/02 ; A61B5/00 ; A61B5/021 ; A61B5/029 ; A61B5/11 ; A61B6/03 ; G06F18/214 ; G06F18/2413 ; G06T7/00 ; G16H50/20

Abstract:
Systems and methods for determining a quantity of interest of a patient comprise receiving patient data of the patient at a first physiological state. A value of a quantity of interest of the patient at the first physiological state is determined based on the patient data. The quantity of interest represents a medical characteristic of the patient. Features are extracted from the patient data, wherein the features which are extracted are based on the quantity of interest to be determined for the patient at a second physiological state. The value of the quantity of interest of the patient at the first physiological state is mapped to a value of the quantity of interest of the patient at the second physiological state based on the extracted features.
Public/Granted literature
- US20210027466A1 System and Method for Mapping Patient Data from One Physiological State to Another Physiological State Public/Granted day:2021-01-28
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