Method and system for enhancing medical image-based blood flow computations using physiological measurements

A method for generating an indication of a specific patient condition based on blood flow computations and invasive physiological measurements, comprising:

• receiving non-invasive patient data including medical image data and non-invasive clinical measurements of a patient;
• generating a patient-specific anatomical model of at least one vessel of the patient from the medical image data;
• simulating blood flow in the patient-specific anatomical model of the at least one vessel of the patient at a second patient state and computing at least one hemodynamic quantity of interest using a computational blood flow model, the computational blood flow model personalized by:
• reconstructing the patient-specific anatomical model based on an invasive physiological measurement of the paient acquired using a sensor inserted into a particular vessel of the patient at a first patient state, and
• personalizing one or more parameters or boundary conditions of the computational blood flow model based on the reconstructed patient-specific anatomical model;
• receiving at least one measured hemodynamic quantity of interest resulting from the invasive physiological measurements of the patient;
• comparing the at least one computed hemodynamic quantity of interest with the at least one measured hemodynamic quantity of interest;
• and
• generating an indication of specific patient condition in response to a difference between the at least one computed hemodynamic quantity of interest and the at least one measured hemodynamic quantity of interest being greater than a threshold value.

An apparatus for simulating blood flow in a vessel of a patient to estimate one or more hemodynamic quantities of interest, comprising:

• a processor;
• and
• a memory storing computer program instructions which when executed by the processor cause the processor to perform operations comprising:
• receiving non-invasive patient data including medical image data and non-invasive clinical measurements of a patient;
• generating a patient-specific anatomical model of at least one vessel of the patient from the medical image data;
• receiving an invasive physiological measurement of the patient acquired using a sensor inserted into a particular vessel of the patient at a first patient state;
• personalizing a computational blood flow model for simulating blood flow in the patient-specific anatomical model of the at least one vessel of the patient by reconstructing the patient-specific anatomical model based on the invasive physiological measurement of the patient and personalizing one or more parameters or boundary conditions of the computational blood flow model based on the reconstructed patient-specific anatomical model;
• and
• simulating blood flow in the patient-specific anatomical model of the at least one vessel of the patient at a second patient stateand computing one or more hemodynamic quantities of interest using the personalized computational blood flow model.

A non-transitory computer readable medium storing computer program instructions for simulating blood flow in a vessel of a patient to estimate one or more hemodynamic quantities of interest, the computer program instructions when execute by a processor cause the processor to perform operations comprising:

• receiving non-invasive patient data including medical image data and non-invasive clinical measurements of a patient;
• generating a patient-specific anatomical model of at least one vessel of the patient from the medical image data;
• receiving an invasive physiological measurement of the patient acquired using a sensor inserted into a particular vessel of the patient at a first patient state;
• personalizing a computational blood flow model for simulating blood flow in the patient-specific anatomical model of the at least one vessel of the patient by reconstructing the patient-specific anatomical model based on the invasive physiological measurement of the patient and personalizing one or more parameters or boundary conditions of the computational blood flow model based on the reconstructed patient-specific anatomical model;
• and
• simulating blood flow in the patient-specific anatomical model of the at least one vessel of the patient at a second patient state and computing one or more hemodynamic quantities of interest using the personalized computational blood flow model.