Vascular characteristic determination with correspondence modeling of a vascular tree
Automated image analysis used in vascular state modeling. Coronary vasculature in particular is modeled in some embodiments. Methods of “virtual revascularization” of a presently stenotic vasculature are described; useful, for example, as a reference in disease state determinations. Structure and uses of a model which relates records comprising acquired images or other structured data to a vascular tree representation are described.
1. A vascular assessment apparatus comprising:
a processor communicatively coupled to a medical imaging device; and
a memory storing non-transitory computer-readable instructions, which when executed, cause the processor to:
receive medical images of a coronary vessel tree of a subject from the medical imaging device;
analyze at least some of the medical images to identify vessel segments of the coronary vessel tree, the identified segments being individually selectable;
display at least one medical image of the received medical images with the identified vessel segments for selection;
receive a selection of a vessel segment shown within the at least one medical image;
determine dimensions for the selected vessel segment using at least some of the medical images;
create a three-dimensional model for the selected vessel segment using the determined dimensions;
analyze the three-dimensional model of the selected vessel segment to determine a location of a potential stenosis;
calculate dimensions of the potential stenosis using at least one of the three-dimensional model or the determined dimensions for the selected vessel segment;
calculate a vascular parameter using the three-dimensional model for the selected vessel segment and the calculated dimensions of the potential stenosis; and
display the three-dimensional model including information that is indicative of the vascular parameter.
2. The vascular assessment apparatus of claim 1 , wherein the medical images include two-dimensional projected images of the coronary vessel tree recorded at different projection angles.
3. The vascular assessment apparatus of claim 1 , wherein the vascular parameter includes at least one of flow resistance, flow capacity, pressure level, or tortuosity.
4. The vascular assessment apparatus of claim 1 , further comprising stored non-transitory computer-readable instructions, which when executed, cause the processor to:
calculate a fractional flow reserve value for the potential stenosis using the vascular parameter; and
display the fractional flow reserve value for the potential stenosis as the information that is indicative of the vascular parameter.
5. The vascular assessment apparatus of claim 4 , further comprising stored non-transitory computer-readable instructions, which when executed, cause the processor to calculate the fractional flow reserve value for the potential stenosis by:
preforming a virtual revascularization of the potential stenosis;
calculating second dimensions of the vessel segment based on the virtual revascularization of the potential stenosis;
calculating a second vascular parameter using the three-dimensional model for the selected vessel segment and the calculated second dimensions of the vessel segment; and
determining the fractional flow reserve value as a ratio of the vascular parameter and the second vascular parameter.
6. The vascular assessment apparatus of claim 5 , further comprising stored non-transitory computer-readable instructions, which when executed, cause the processor to perform the virtual revascularization of the potential stenosis by at least one of:
extrapolating the determined dimensions that are between portions of the vessel segment that are before and after the location of the potential stenosis; or
applying a high-pass filter to a relation of the determined dimensions of the vessel segment to a position of the dimensions along the vessel segment.
7. The vascular assessment apparatus of claim 1 , wherein the dimensions for the selected vessel segment are determined as at least one of:
a diameter or radius measured in at least one of the medical images;
an average of diameters or radii measured from at least some of the medical images of a common point or feature of the vessel segment; or
an approximation of vessel lumen cross-section as having a circular shape based on at least one of the medical images.
8. The vascular assessment apparatus of claim 1 , further comprising stored non-transitory computer-readable instructions, which when executed, cause the processor to calculate the dimensions of the potential stenosis by determining a length of the potential stenosis based by:
identifying a maximum determined occlusion at the potential stenosis;
identifying portions of the vessel segment that have a specified percentage of occlusion relative to the identified maximum determined occlusion; and
measuring a distance between the identified portions of the vessel segment.
9. The vascular assessment apparatus of claim 1 , further comprising stored non-transitory computer-readable instructions, which when executed, cause the processor to calculate the dimensions of the potential stenosis by determining a length of the potential stenosis based by determining a slope inward from a vascular wall of the vessel segment that is above a specified threshold.
10. The vascular assessment apparatus of claim 1 , further comprising stored non-transitory computer-readable instructions, which when executed, cause the processor to determine the location of a potential stenosis by identifying a location of the vessel segment where a rate of decrease for a vascular width, radius, or diameter changes above a specified threshold that corresponds to natural narrowing of a vessel segment.
11. The vascular assessment apparatus of claim 1 , further comprising stored non-transitory computer-readable instructions, which when executed, cause the processor to:
identify a two-dimensional feature of the selected vessel segment that is included within the at least some of the medical images used to determine the dimensions for the selected vessel segment;
register the at least some of the medical images to each other using the identified two-dimensional feature;
identify a vascular homology for the identified two-dimensional feature using the registration of the at least some of the medical images; and
determine the dimensions for the selected vessel segment using the identified vascular homology for the identified two-dimensional feature.
12. The vascular assessment apparatus of claim 1 , further comprising stored non-transitory computer-readable instructions, which when executed, cause the processor to:
perform image analysis to determine centerlines through the selected vessel segment using the at least some of the medical images;
generate orthogonal profiles for each of the centerlines;
determine boundaries of vessels of the vessel segment based on a peak of a weighted sum of first and second derivatives of image intensity along the orthogonal profiles; and
determine the dimensions of the vessel segment along the centerlines at sampled intervals as at least one of a radius, a diameter, or a cross-sectional area of the vessel segment based on the determined boundaries and the centerlines of the vessel segment.
13. The vascular assessment apparatus of claim 1 , wherein the medical imaging device includes at least one of an X-ray angiography machine, a computerized tomography (“CT”) machine, a magnetic resonance imaging (“MM”) machine, an optical coherence tomography (“OCT”) machine, or an intravascular ultrasound (“IVUS”) machine, and the medical images include respectively, X-ray images, CT images, MM images, OCT images, or IVUS images.
14. A vascular assessment apparatus storing non-transitory computer-readable instructions, which when executed, cause the apparatus to:
acquire a three-dimensional model of a vessel segment of a subject, the model including volumetric dimensions of the vessel segment, the three-dimensional model being formed from at least one medical image of the vessel segment of the subject;
analyze the three-dimensional model of a selected vessel segment to determine a location of a potential stenosis;
calculate dimensions of the potential stenosis using the three-dimensional model for the selected vessel segment;
calculate a vascular parameter using the three-dimensional model for the selected vessel segment and the calculated dimensions of the potential stenosis; and
display information that is indicative of the vascular parameter in conjunction with at least one of the three-dimensional model or the at least one medical image.
15. The vascular assessment apparatus of claim 14 , further comprising stored non-transitory computer-readable instructions, which when executed, cause the apparatus to:
calculate a fractional flow reserve value for the potential stenosis using the vascular parameter; and
display the fractional flow reserve value for the potential stenosis as the information that is indicative of the vascular parameter,
wherein the vascular parameter includes at least one of flow resistance, flow capacity, pressure level, or tortuosity.
16. The vascular assessment apparatus of claim 15 , further comprising stored non-transitory computer-readable instructions, which when executed, cause the apparatus to calculate the fractional flow reserve value for the potential stenosis by:
preforming a virtual revascularization of the potential stenosis;
calculating second dimensions of the vessel segment based on the virtual revascularization of the potential stenosis;
calculating a second vascular parameter using the three-dimensional model for the selected vessel segment and the calculated second dimensions of the vessel segment; and
determining the fractional flow reserve value as a ratio of the vascular parameter and the second vascular parameter.
17. The vascular assessment apparatus of claim 14 , wherein the virtual revascularization is configured to simulate at least one of a placement of a stent at the location of the potential stenosis or a percutaneous coronary intervention (“PCI”) at the location of the potential stenosis.
18. The vascular assessment apparatus of claim 14 , wherein the medical imaging device includes at least one of an X-ray angiography machine, a computerized tomography (“CT”) machine, a magnetic resonance imaging (“MM”) machine, an optical coherence tomography (“OCT”) machine, or an intravascular ultrasound (“IVUS”) machine, and the at least one medical image includes respectively, an X-ray image, a CT image, an MRI image, an OCT image, or an IVUS image.
19. The vascular assessment apparatus of claim 14 , further comprising stored non-transitory computer-readable instructions, which when executed, cause the apparatus to determine the location of a potential stenosis by identifying a location of the vessel segment where a rate of decrease for a vascular width, radius, or diameter changes above a specified threshold that is related to natural narrowing of a vessel segment.
20. The vascular assessment apparatus of claim 14 , further comprising stored non-transitory computer-readable instructions, which when executed, cause the apparatus to determine the location of a potential stenosis by identifying a location of the vessel segment where a rate of decrease for a vascular width, radius, or diameter changes above a specified threshold that corresponds to natural narrowing of a vessel segment.