Systems, devices, and methods for non-invasive image-based plaque analysis and risk determination
Abstract
Systems and methods of facilitating determination of risk of coronary artery disease (CAD) based at least in part on one or more measurements derived from non-invasive medical image analysis. The methods can include accessing a non-invasive generated medical image, identifying one or more arteries, identifying, regions of plaque within an artery, analyzing the regions of plaque to identify low density non-calcified plaque, non-calcified plaque, or calcified plaque based at least in part on density, determining a distance from identified regions of low density non-calcified plaque to one or more of a lumen wall or vessel wall, determining embeddedness of the regions of low density non-calcified plaque by one or more of non-calcified plaque or calcified plaque, determining a shape of the more regions of low density non-calcified plaque, and generating a display of the analysis to facilitate determination of one or more of a risk of CAD of the subject.
Claims
exact text as granted — not AI-modified1 . A computer-implemented method of assessing a state of cardiovascular disease of a subject based on multi-dimensional information derived from non-invasive medical image analysis, the method comprising:
accessing, by a computer system, a medical image of a subject, wherein the medical image of the subject is obtained non-invasively; analyzing, by the computer system, the medical image of the subject to identify one or more arteries, wherein the one or more arteries comprise one or more regions of plaque; determining, by the computer system, one or more vascular parameters associated with the subject by analyzing the one or more arteries identified from the medical image, wherein the one or more vascular parameters comprise one or more of vascular volume, diameter, area, cross-sectional area, surface area, length, location, or remodeling; identifying, by the computer system, the one or more regions of plaque on the medical image; characterizing, by the computer system, one or more of the one or more identified regions of plaque as non-calcified plaque, wherein the one or more identified regions of plaque is characterized as non-calcified plaque when radiodensity values of one or more pixels within the one or more identified regions of plaque is below a predetermined threshold; determining, by the computer system, one or more non-calcified plaque parameters for the one or more characterized non-calcified plaque, the one or more non-calcified plaque parameters comprising one or more of plaque density, radiodensity, location, volume, surface area, geometry, heterogeneity, diffusivity, or ratio between volume and surface area; analyzing, by the computer system, one or more of the one or more vascular parameters or one or more non-calcified plaque parameters by comparison to a dataset of values, the values comprising one or more of the one or more vascular parameters or one or more non-calcified plaque parameters derived from a population with varying states of cardiovascular disease; generating, by the computer system, a non-calcium score for the subject, the non-calcium score generated based at least in part by analyzing one or more of the one or more vascular parameters or one or more non-calcified plaque parameters by comparison to a dataset of values; and determining, by the computer system, an assessment of the state of cardiovascular disease of the subject based at least in part on the generated non-calcium score, wherein the computer system comprises a computer processor and an electronic storage medium.
2 . The computer-implemented method of claim 1 , wherein one or more of the one or more identified regions of plaque is further characterized as non-calcified plaque when distribution of radiodensity values of one or more pixels within the one or more identified regions of plaque is above a predetermined threshold.
3 . The computer-implemented method of claim 1 , further comprising characterizing, by the computer system, one or more of the one or more identified regions of plaque as calcified plaque, wherein the one or more identified regions of plaque is characterized as calcified plaque when radiodensity values of one or more pixels within the one or more identified regions of plaque is above a predetermined threshold.
4 . The computer-implemented method of claim 3 , further comprising determining, by the computer system, one or more calcified plaque parameters for the one or more characterized calcified plaque, the one or more calcified plaque parameters comprising one or more of plaque density, radiodensity, location, volume, surface area, geometry, heterogeneity, diffusivity, or ratio between volume and surface area.
5 . The computer-implemented method of claim 4 , further comprising analyzing, by the computer system, one or more of the one or more calcified plaque parameters by comparison to a dataset of values of the one or more calcified plaque parameters derived from a population with varying states of cardiovascular disease.
6 . The computer-implemented method of claim 5 , further comprising generating, by the computer system, a calcium score for the subject, the calcium score generated based at least in part by analyzing one or more of the one or more calcified plaque parameters by comparison to the dataset of values of the one or more calcified plaque parameters.
7 . The computer-implemented method of claim 6 , further comprising generating, by the computer system, a weighted measure of the non-calcium score and the calcium score.
8 . The computer-implemented method of claim 7 , wherein the weighted measure of the non-calcium score and the calcium score is generated by weighting the non-calcium score between 0 and 1 and by weighting the calcium score between 0 and 1.
9 . The computer-implemented method of claim 1 , wherein the medical image is obtained using an imaging technique comprising one or more of computed tomography (CT), x-ray, ultrasound, echocardiography, intravascular ultrasound (IVUS), magnetic resonance (MR) imaging, optical coherence tomography (OCT), nuclear medicine imaging, positron-emission tomography (PET), single photon emission computed tomography (SPECT), or near-field infrared spectroscopy (NIRS).
10 . The computer-implemented method of claim 7 , wherein the weighted measure of the non-calcium score and the calcium score is generated by weighting the non-calcium score 1 and the calcium score 0.
11 . The computer-implemented method of claim 7 , wherein the weighted measure of the non-calcium score and the calcium score is generated by weighting the non-calcium score and the calcium score 1.
12 . The computer-implemented method of claim 7 , wherein the assessment of the state of cardiovascular disease of the subject is determined based at least in part on the generated weighted measure of the non-calcium score and the calcium score.
13 . The computer-implemented method of claim 8 , wherein the assessment of the state of cardiovascular disease of the subject is determined by comparing the generated weighted measure of the non-calcium score and the calcium score against a dataset of values of weighted measures of non-calcium score and calcium score for a population with varying states of cardiovascular disease.
14 . The computer-implemented method of claim 1 , further comprising generating, by the computer system, a treatment for cardiovascular disease for the subject based at least in part on the determined assessment of the state of cardiovascular disease.
15 . The computer-implemented method of claim 14 , wherein the treatment for cardiovascular disease comprises medical intervention, medical treatment, or lifestyle change.
16 . The computer-implemented method of claim 14 , further comprising tracking, by the computer system, efficacy of the treatment by determining assessment of the state of cardiovascular disease of the subject at a later point in time after treatment.
17 . The computer-implemented method of claim 1 , further comprising:
determining, by the computer system, one or more relational parameters, the relational parameters comprising one or more of a ratio of surface area of plaque to surface of vessel, ratio of volume of plaque to volume of vessel, or a ratio of thickness of plaque to thickness of vessel; and analyzing, by the computer system, one or more of the one or more relational parameters by comparison to a dataset of values, the values comprising one or more of the one or more relational parameters derived from a population with varying states of cardiovascular disease, wherein the non-calcium score for the subject is further generated based at least in part on the analyzed one or more relational parameters.
18 . A system for assessing a state of cardiovascular disease of a subject based on multi-dimensional information derived from non-invasive medical image analysis, the system comprising:
one or more computer readable storage devices configured to store a plurality of computer executable instructions; and one or more hardware computer processors in communication with the one or more computer readable storage devices and configured to execute the plurality of computer executable instructions in order to cause the system to:
access a medical image of a subject, wherein the medical image of the subject is obtained non-invasively;
analyze the medical image of the subject to identify one or more arteries, wherein the one or more arteries comprise one or more regions of plaque;
identify the one or more regions of plaque on the medical image;
characterize one or more of the one or more identified regions of plaque as non-calcified plaque, wherein the one or more identified regions of plaque is characterized as non-calcified plaque when radiodensity values of one or more pixels within the one or more identified regions of plaque is below a predetermined threshold;
determine one or more non-calcified plaque parameters for the one or more characterized non-calcified plaque, the one or more non-calcified plaque parameters comprising one or more of plaque density, radiodensity, location, volume, surface area, geometry, heterogeneity, diffusivity, or ratio between volume and surface area;
analyze one or more of the one or more non-calcified plaque parameters by comparison to a dataset of values, the values comprising one or more of the one or more non-calcified plaque parameters derived from a population with varying states of cardiovascular disease;
generate a non-calcium score for the subject, the non-calcium score generated based at least in part by analyzing one or more of the one or more non-calcified plaque parameters by comparison to a dataset of values; and
determine an assessment of the state of cardiovascular disease of the subject based at least in part on the generated non-calcium score.
19 . The system of claim 17 , wherein the system is further caused to:
characterize one or more of the one or more identified regions of plaque as calcified plaque; determine one or more calcified plaque parameters for the one or more characterized calcified plaque, the one or more calcified plaque parameters comprising one or more of plaque density, radiodensity, location, volume, surface area, geometry, heterogeneity, diffusivity, or ratio between volume and surface area; analyze one or more of the one or more calcified plaque parameters by comparison to a dataset of values of the one or more calcified plaque parameters derived from a population with varying states of cardiovascular disease; and generate a calcium score for the subject, the calcium score generated based at least in part by analyzing one or more of the one or more calcified plaque parameters by comparison to the dataset of values of the one or more calcified plaque parameters.
20 . The system of claim 18 , wherein the system is further caused to generate a weighted measure of the non-calcium score and the calcium score, wherein the assessment of the state of cardiovascular disease of the subject is determined based at least in part on the generated weighted measure of the non-calcium score and the calcium score.
21 . The system of claim 19 , wherein the weighted measure of the non-calcium score and the calcium score is generated by weighting the non-calcium score between 0 and 1 and by weighting the calcium score between 0 and 1.Join the waitlist — get patent alerts
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