System and Method for Mapping Patient Data from One Physiological State to Another Physiological State

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.

1 . A method for determining a quantity of interest of a patient, comprising:
 receiving patient data of the patient at a first physiological state;   determining a value of a quantity of interest of the patient at the first physiological state based on the patient data, the quantity of interest representing a medical characteristic of the patient;   extracting features 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; and   mapping the value of the quantity of interest of the patient at the first physiological state to a value of the quantity of interest of the patient at the second physiological state based on the extracted features.   
     
     
         2 . The method as recited in  claim 1 , wherein mapping the value of the quantity of interest of the patient at the first physiological state to the value of the quantity of interest of the patient at the second physiological state further comprises:
 mapping the value of the quantity of interest of the patient at the first physiological state to the value of the quantity of interest of the patient at the second physiological state without using data of the patient at the second physiological state.   
     
     
         3 . The method as recited in  claim 1 , wherein the quantity of interest of the patient at the first physiological state is a same quantity of interest as the quantity of interest of the patient at the second physiological state. 
     
     
         4 . The method as recited in  claim 1 , wherein the quantity of interest of the patient at the first physiological state is different from the quantity of interest of the patient at the second physiological state. 
     
     
         5 . The method as recited in  claim 1 , wherein mapping the value of the quantity of interest of the patient at the first physiological state to the value of the quantity of interest of the patient at the second physiological state further comprises:
 applying a trained mapping function to the value of the quantity of interest of the patient at the first physiological state, the mapping function representing a relationship between the quantity of interest of a set of patients at the first physiological state and the quantity of interest of the set of patients at the second physiological state.   
     
     
         6 . The method as recited in  claim 5 , wherein the trained mapping function is determined in an offline step. 
     
     
         7 . The method as recited in  claim 5 , wherein the trained mapping function is a machine-learning based mapping function trained based on training data comprising quantities of interest of the set of patients at the first physiological state and corresponding quantities of interest of the set of patients at the second physiological state. 
     
     
         8 . The method as recited in  claim 7 , wherein the training data comprises simulated quantities of interest of the set of patients at the first physiological state and simulated corresponding quantities of interest at the second physiological state. 
     
     
         9 . The method as recited in  claim 1 , wherein the patient data comprises medical image data of the patient, and determining the value of the quantity of interest of the patient at the first physiological state comprises:
 determining the value of the quantity of interest of the patient at the first physiological state based on a patient-specific computational fluid dynamics simulation of blood flow performed using boundary conditions corresponding to the first physiological state determined based on the medial image data of the patient.   
     
     
         10 . The method as recited in  claim 1 , the patient data comprises medial image data of the patient, and extracting features from the patient data comprises:
 processing the medial image data of the patient to determine measurements of the patient.   
     
     
         11 . An apparatus for determining a quantity of interest of a patient, comprising:
 means for receiving patient data of the patient at a first physiological state;   means for determining a value of a quantity of interest of the patient at the first physiological state based on the patient data, the quantity of interest representing a medical characteristic of the patient;   means for extracting features 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; and   means for mapping the value of the quantity of interest of the patient at the first physiological state to a value of the quantity of interest of the patient at the second physiological state based on the extracted features.   
     
     
         12 . The apparatus as recited in  claim 11 , wherein the means for mapping the value of the quantity of interest of the patient at the first physiological state to the value of the quantity of interest of the patient at the second physiological state further comprises:
 means for mapping the value of the quantity of interest of the patient at the first physiological state to the value of the quantity of interest of the patient at the second physiological state without using data of the patient at the second physiological state.   
     
     
         13 . The apparatus as recited in  claim 11 , wherein the quantity of interest of the patient at the first physiological state is a same quantity of interest as the quantity of interest of the patient at the second physiological state. 
     
     
         14 . The apparatus as recited in  claim 11 , wherein the quantity of interest of the patient at the first physiological state is different from the quantity of interest of the patient at the second physiological state. 
     
     
         15 . The apparatus as recited in  claim 11 , wherein mapping the value of the quantity of interest of the patient at the first physiological state to the value of the quantity of interest of the patient at the second physiological state further comprises:
 means for applying a trained mapping function to the value of the quantity of interest of the patient at the first physiological state, the mapping function representing a relationship between the quantity of interest of a set of patients at the first physiological state and the quantity of interest of the set of patients at the second physiological state.   
     
     
         16 . The apparatus as recited in  claim 15 , wherein the trained mapping function is determined in an offline step. 
     
     
         17 . The apparatus as recited in  claim 15 , wherein the trained mapping function is a machine-learning based mapping function trained based on training data comprising quantities of interest of the set of patients at the first physiological state and corresponding quantities of interest of the set of patients at the second physiological state. 
     
     
         18 . The apparatus as recited in  claim 17 , wherein the training data comprises simulated quantities of interest of the set of patients at the first physiological state and simulated corresponding quantities of interest at the second physiological state. 
     
     
         19 . A non-transitory computer readable medium storing computer program instructions for determining a quantity of interest of a patient, the computer program instructions when executed by a processor cause the processor to perform operations comprising:
 receiving patient data of the patient at a first physiological state;   determining a value of a quantity of interest of the patient at the first physiological state based on the patient data, the quantity of interest representing a medical characteristic of the patient;   extracting features 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; and   mapping the value of the quantity of interest of the patient at the first physiological state to a value of the quantity of interest of the patient at the second physiological state based on the extracted features.   
     
     
         20 . The non-transitory computer readable medium as recited in  claim 19 , wherein mapping the value of the quantity of interest of the patient at the first physiological state to the value of the quantity of interest of the patient at the second physiological state further comprises:
 mapping the value of the quantity of interest of the patient at the first physiological state to the value of the quantity of interest of the patient at the second physiological state without using data of the patient at the second physiological state.   
     
     
         21 . The non-transitory computer readable medium as recited in  claim 19 , wherein the patient data comprises medical image data of the patient, and determining the value of the quantity of interest of the patient at the first physiological state comprises:
 determining the value of the quantity of interest of the patient at the first physiological state based on a patient-specific computational fluid dynamics simulation of blood flow performed using boundary conditions corresponding to the first physiological state determined based on the medial image data of the patient.   
     
     
         22 . The non-transitory computer readable medium as recited in  claim 19 , the patient data comprises medial image data of the patient, and extracting features from the patient data comprises:
 processing the medial image data of the patient to determine measurements of the patient.   
     
     
         23 . A method for determining fractional flow reserve (FFR) for a coronary stenosis of a patient at a hyperemia state, comprising:
 receiving patient data of the patient at a rest state;   calculating a value of a pressure drop over the coronary stenosis of the patient at the rest state based on the patient data;   extracting features from the patient data;   mapping the value of the pressure drop over the coronary stenosis of the patient at the rest state to a value of the pressure drop over the coronary stenosis of the patient at the hyperemia state based on the extracted features; and   outputting the FFR for the coronary stenosis of the patient based on the pressure drop over the coronary stenosis of the patient at the hyperemia state.   
     
     
         24 . The method as recited in  claim 23 , wherein the value of the pressure drop over the coronary stenosis of the patient at the rest state comprises a value of a pressure distal to the coronary stenosis for the patient at the rest state and a value of a pressure proximal to the coronary stenosis for the patient at the hyperemia state, and wherein the mapping comprising:
 mapping the value of the pressure distal to the coronary stenosis for the patient at the rest state to a value of the pressure distal to the coronary stenosis for the patient at the hyperemia state; and   mapping the value of the pressure proximal to the coronary stenosis for the patient at the rest state to a value of the pressure proximal to the coronary stenosis for the patient at the hyperemia state.   
     
     
         25 . The method as recited in  claim 24 , wherein outputting the FFR comprises:
 calculating the FFR based on the value of the pressure distal to the coronary stenosis for the patient at the hyperemia state and the value of the pressure proximal to the coronary stenosis for the patient at the hyperemia state.   
     
     
         26 . The method as recited in  claim 23 , wherein the value of the pressure drop over the coronary stenosis of the patient at the rest state comprises a ratio of a value of a pressure distal to the coronary stenosis for the patient at the rest state and a value of a pressure proximal to the coronary stenosis for the patient at the hyperemia state, and wherein the mapping comprises:
 mapping the ratio of the pressure drop over the coronary stenosis of the patient at the rest state to a ratio of the pressure drop over the coronary stenosis of the patient at the hyperemia state.