Systems and methods for processing electronic images to determine a planar mapping
A computer-implemented method for subject-specific two-dimensional modeling of a subject's vasculature may comprise: receiving a subject-specific three-dimensional model of the subject's vasculature, wherein the subject-specific three-dimensional model includes one or more centerlines; determining a two-dimensional viewing plane; determining a projection of the one or more centerlines of the subject-specific three-dimensional model onto the two-dimensional viewing plane; generating one or more models around the one or more centerlines; and generating a two-dimensional image depicting the one or more models.
1. A computer-implemented method for subject-specific two-dimensional modeling of a subject's vasculature, comprising:
receiving a subject-specific three-dimensional model of the subject's vasculature, wherein the subject-specific three-dimensional model includes one or more centerlines;
determining a two-dimensional viewing plane;
determining a projection of the one or more centerlines of the subject-specific three-dimensional model onto the two-dimensional viewing plane, wherein each of the one or more centerlines of the subject-specific three-dimensional model includes a plurality of discrete points, and wherein determining the projection of the one or more centerlines includes maintaining distances between the plurality of discrete points of respective centerlines of the subject-specific three-dimensional model;
generating one or more meshes around the one or more centerlines; and
generating a two-dimensional image depicting the one or more meshes.
2. The method of claim 1 , further comprising associating one or more vessel attributes with one or more points of one of the one or more centerlines.
3. The method of claim 2 , wherein the one or more vessel attributes include diameter, healthy diameter, percent stenosis, presence of plaque, presence of imaging artifacts, presence of stents, or FFR.
4. The method of claim 2 , wherein the two-dimensional image includes one or more annotations relating to the one or more vessel attributes.
5. The method of claim 2 , wherein associating the one or more vessel attributes include attributes of the subject-specific three-dimensional model.
6. The method of claim 1 , wherein the two-dimensional image preserves a size, length, diameter, branching structure, or tortuosity of the subject-specific three-dimensional model.
7. The method of claim 1 , wherein the subject-specific three-dimensional model is based on one or more subject-specific medical images.
8. The method of claim 1 , wherein the two-dimensional image depicts only one view of the subject's vasculature.
9. The method of claim 1 , wherein determining the two-dimensional viewing plane comprises:
determining a location of a central vessel of the subject's vasculature;
determining an ostium location of one or more branching vessels extending from the central vessel; and
assigning the two-dimensional viewing plane based on the ostium location.
10. The method of claim 1 , wherein the projection maintains a determined distance between points along the one or more centerlines, vessel tortuosity, and/or branching structure.
11. A system for subject-specific two-dimensional modeling of a subject's vasculature, comprising:
a data storage device storing instructions for two-dimensional modeling of the subject's vasculature; and
a processor configured to execute the instructions to perform operations comprising:
receiving a subject-specific three-dimensional model of the subject's vasculature, wherein the subject-specific three-dimensional model includes one or more centerlines;
determining a two-dimensional viewing plane;
determining a projection of the one or more centerlines of the subject-specific three-dimensional model onto the two-dimensional viewing plane, wherein each of the one or more centerlines of the subject-specific three-dimensional model includes a plurality of discrete points, and wherein determining the projection of the one or more centerlines includes maintaining distances between the plurality of discrete points of respective centerlines of the subject-specific three-dimensional model;
generating one or more meshes around the one or more centerlines; and
generating a two-dimensional image depicting the one or more meshes.
12. The system of claim 11 , wherein the operations further comprise associating one or more vessel attributes with one or more points of one of the one or more centerlines.
13. The system of claim 12 , wherein the one or more vessel attributes include diameter, healthy diameter, percent stenosis, presence of plaque, presence of imaging artifacts, presence of stents, or FFR.
14. The system of claim 11 , wherein the two-dimensional image preserves a size, length, diameter, branching structure, or tortuosity of the subject-specific three-dimensional model.
15. The system of claim 11 , wherein the subject-specific three-dimensional model is based on one or more subject-specific medical images.
16. A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform a method comprising:
receiving a subject-specific three-dimensional model of a subject's vasculature, wherein the subject-specific three-dimensional model includes one or more centerlines;
determining a two-dimensional viewing plane;
determining a projection of the one or more centerlines of the subject-specific three-dimensional model onto the two-dimensional viewing plane, wherein each of the one or more centerlines of the subject-specific three-dimensional model includes a plurality of discrete points, and wherein determining the projection of the one or more centerlines includes maintaining distances between the plurality of discrete points of respective centerlines of the subject-specific three-dimensional model;
generating one or more meshes around the one or more centerlines; and
generating a two-dimensional image depicting the one or more meshes.
17. The non-transitory computer-readable medium of claim 16 , wherein the method further comprises associating one or more vessel attributes with one or more points of one of the one or more centerlines.
18. The non-transitory computer-readable medium of claim 17 , wherein the one or more vessel attributes include diameter, healthy diameter, percent stenosis, presence of plaque, presence of imaging artifacts, presence of stents, or FFR.
19. The system of claim 11 , wherein determining the two-dimensional viewing plane comprises:
determining a location of a central vessel of the subject's vasculature;
determining an ostium location of one or more branching vessels extending from the central vessel; and
assigning the two-dimensional viewing plane based on the ostium location.
20. The non-transitory computer-readable medium of claim 16 , wherein determining the two-dimensional viewing plane comprises:
determining a location of a central vessel of the subject's vasculature;
determining an ostium location of one or more branching vessels extending from the central vessel; and
assigning the two-dimensional viewing plane based on the ostium location.