Method and system for image processing to determine patient-specific blood flow characteristics
First Claim
1. A method of image analysis to produce a cardiovascular index, the method comprising:
- receiving vascular image data including;
relative positions in one or more two-dimensional angiographic images of a plurality of vascular segments linked by branch points, and at least one lesion for which a respective lesion metric includes one or more of a cross-sectional area of a stenotic segment, a plaque strength, a plaque stress, and a size and/or position relative to the vascular segments;
determining automatically a plurality of lesion-related vascular metrics for each of a plurality of said vascular segments, based on at least one angiographic image of said received image data;
determining at least one subscore based on a function of said plurality of lesion-related vascular metrics, and on said position of the lesion within the vascular segments and relative to the branch points;
determining a myocardial perfusion risk index based on said at least one subscore; and
outputting said myocardial perfusion risk index to an electronic storage medium or display.
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Accused Products
Abstract
Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient'"'"'s heart, and create a three-dimensional model representing at least a portion of the patient'"'"'s heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient'"'"'s heart and determine a fractional flow reserve within the patient'"'"'s heart based on the three-dimensional model and the physics-based model.
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Citations
16 Claims
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1. A method of image analysis to produce a cardiovascular index, the method comprising:
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receiving vascular image data including;
relative positions in one or more two-dimensional angiographic images of a plurality of vascular segments linked by branch points, and at least one lesion for which a respective lesion metric includes one or more of a cross-sectional area of a stenotic segment, a plaque strength, a plaque stress, and a size and/or position relative to the vascular segments;determining automatically a plurality of lesion-related vascular metrics for each of a plurality of said vascular segments, based on at least one angiographic image of said received image data; determining at least one subscore based on a function of said plurality of lesion-related vascular metrics, and on said position of the lesion within the vascular segments and relative to the branch points; determining a myocardial perfusion risk index based on said at least one subscore; and outputting said myocardial perfusion risk index to an electronic storage medium or display. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method of image analysis to produce a cardiovascular index, the method comprising:
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receiving vascular image data including;
relative positions in one or more two-dimensional angiographic images of a plurality of vascular segments linked by branch points, and at least one lesion for which a respective lesion metric includes one or more of a cross-sectional area of a stenotic segment, a plaque strength, a plaque stress, and a size and/or position relative to the vascular segments;determining automatically a plurality of lesion-related vascular metrics for each of a plurality of said vascular segments, based on at least one angiographic image of said received image data; determining at least one subscore based on a function of said plurality of lesion-related vascular metrics, and on said position of the lesion within the vascular segments and relative to the branch points wherein, the at least one subscore is determined based upon a plaque rupture vulnerability index, a hemodynamic model, and/or the sizes of plaques and arterial vasculature; determining a myocardial perfusion risk index based on said at least one subscore; and outputting said myocardial perfusion risk index to an electronic storage medium or display.
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14. A system for image analysis to automatically determine a myocardial perfusion risk index, comprising:
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a data storage device storing instructions for image analysis to automatically determine a myocardial perfusion risk index; and a processor configured to execute the instructions to perform a method including; receiving vascular image data including;
relative positions in one or more two-dimensional angiographic images of a plurality of vascular segments linked by branch points, and at least one lesion for which a respective lesion metric includes one or more of a cross-sectional area of a stenotic segment, a plaque strength, a plaque stress, and a size and/or position relative to the vascular segments;determining automatically a plurality of lesion-related vascular metrics for each of a plurality of said vascular segments, based on at least one angiographic image of said received image data; determining at least one subscore based on a function of said plurality of lesion-related vascular metrics, and on said position of the lesion within the vascular segments and relative to the branch points; determining a myocardial perfusion risk index based on said at least one subscore; and outputting said myocardial perfusion risk index to an electronic storage medium or display. - View Dependent Claims (15, 16)
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Specification