Systems and methods for estimating blood flow characteristics from vessel geometry and physiology
First Claim
1. A method for determining patient-specific blood flow characteristics, the method comprising:
- acquiring, for each of a plurality of individuals, a geometric model, one or more physiological parameters, and one or more measured or estimated blood flow characteristics at one or more points of at least part of the individual'"'"'s vascular system;
for a plurality of points in the geometric model for each of the plurality of individuals, creating a feature vector comprising a vascular cross-sectional area, a diseased length, and one or more boundary conditions of the geometric model at the one or more points;
associating the feature vector for each of the plurality of individuals with one or more of the measured or estimated blood flow characteristics of the corresponding individual;
modeling and training a support vector machine to predict blood flow characteristics at various points of the geometric model, using the associated feature vectors;
acquiring, for a patient, a geometric model of at least part of the patient'"'"'s vascular system and one or more measured or estimated physiological parameters; and
using the modeled and trained support vector machine to determine a blood flow characteristic of the patient for at least one point in the patient'"'"'s geometric model.
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Abstract
Systems and methods are disclosed for estimating patient-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, a geometric model and estimated blood flow characteristics of at least part of the individual'"'"'s vascular system; executing a machine learning algorithm on the geometric model and estimated blood flow characteristics for each of the plurality of individuals; identifying, using the machine learning algorithm, features predictive of blood flow characteristics corresponding to a plurality of points in the geometric models; acquiring, for a patient, a geometric model of at least part of the patient'"'"'s vascular system; and using the identified features to produce estimates of the patient'"'"'s blood flow characteristic for each of a plurality of points in the patient'"'"'s geometric model.
35 Citations
13 Claims
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1. A method for determining patient-specific blood flow characteristics, the method comprising:
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acquiring, for each of a plurality of individuals, a geometric model, one or more physiological parameters, and one or more measured or estimated blood flow characteristics at one or more points of at least part of the individual'"'"'s vascular system; for a plurality of points in the geometric model for each of the plurality of individuals, creating a feature vector comprising a vascular cross-sectional area, a diseased length, and one or more boundary conditions of the geometric model at the one or more points; associating the feature vector for each of the plurality of individuals with one or more of the measured or estimated blood flow characteristics of the corresponding individual; modeling and training a support vector machine to predict blood flow characteristics at various points of the geometric model, using the associated feature vectors; acquiring, for a patient, a geometric model of at least part of the patient'"'"'s vascular system and one or more measured or estimated physiological parameters; and using the modeled and trained support vector machine to determine a blood flow characteristic of the patient for at least one point in the patient'"'"'s geometric model. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A system for estimating patient-specific blood flow characteristics, the system comprising:
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a data storage device storing instructions for determining patient-specific blood flow characteristics; and a processor configured to execute the instructions to perform a method including the steps of; acquiring, for each of a plurality of individuals, a geometric model, one or more physiological parameters, and one or more measured or estimated blood flow characteristics at one or more points of at least part of the individual'"'"'s vascular system; for a plurality of points in the geometric model for each of the plurality of individuals, creating a feature vector comprising a vascular cross-sectional area, a diseased length, and one or more boundary conditions of the geometric model at the one or more points; associating the feature vector for each of the plurality of individuals with one or more of the measured or estimated blood flow characteristics of the corresponding individual; modeling and training a support vector machine to predict blood flow characteristics at various points of the geometric model, using the associated feature vectors; acquiring, for a patient, a geometric model of at least part of the patient'"'"'s vascular system and one or more measured or estimated physiological parameters; and using the modeled and trained support vector machine to determine a blood flow characteristic of the patient for at least one point in the patient'"'"'s geometric model. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A non-transitory computer-readable medium storing instructions that, when executed by a computer, cause the computer to perform a method including:
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acquiring, for each of a plurality of individuals, a geometric model, one or more physiological parameters, and one or more measured or estimated blood flow characteristics at one or more points of at least part of the individual'"'"'s vascular system; for a plurality of points in the geometric model for each of the plurality of individuals, creating a feature vector comprising a vascular cross-sectional area, a diseased length, and one or more boundary conditions of the geometric model at the one or more points; associating the feature vector for each of the plurality of individuals with one or more of the measured or estimated blood flow characteristics of the corresponding individual; modeling and training a support vector machine to predict blood flow characteristics at various points of the geometric model, using the associated feature vectors; acquiring, for a patient, a geometric model of at least part of the patient'"'"'s vascular system and one or more measured or estimated physiological parameters; and using the modeled and trained support vector machine to determine a blood flow characteristic of the patient for at least one point in the patient'"'"'s geometric model.
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Specification