Determining a luminal-flow-related index using blood velocity determination

1. Apparatus comprising:

an imaging device configured to acquire a set of angiographic images of a lumen of a subject's body during travel of a contrast agent through the lumen;

a display; and

at least one computer processor configured:

via image processing, to determine blood velocity within the lumen, by:

defining a first region of interest and a second region of interest along the lumen in one of the angiographic images,

identifying the first and second regions of interest in a first angiographic image and a second angiographic image,

determining a distance between the first and second regions of interest,

determining that a presence of the contrast agent appears at the first region of interest in the first angiographic image and that the presence of the contrast agent appears at the second region of interest in the second angiographic image, and

determining an amount of time that it took for the contrast agent to travel from the first region of interest to the second region of interest, based upon an interval between an acquisition of the first angiographic image and an acquisition of the second angiographic image,

to receive an indication of geometry of the lumen at a location within the lumen,

to determine a value of a current flow-related parameter at the location based upon the determined blood velocity and the geometry of the lumen at the location, wherein the current flow-related parameter is representative of blood flow at the location when the lumen includes a stenosis,

to receive an indication of a value of a second flow-related parameter of the subject, wherein the second flow-related parameter is representative of the blood flow at the location when the lumen is healthy prior to a formation of the stenosis,

to determine a value of a luminal-flow-related index of the subject at the location, by determining a relationship between the value of the current flow-related parameter and the value of the second flow-related parameter, and

to generate an output on the display in response to the determined value of the luminal-flow-related index.

2. The apparatus according to claim 1 , wherein the location includes a location at the stenosis within the lumen, and wherein the computer processor is configured to determine the value of the luminal-flow-related index of the subject at the location, by determining the value of the luminal-flow-related index at the stenosis.

3. The apparatus according to claim 1 , wherein the computer processor is configured to determine the value of the luminal-flow-related index of the subject at the location, by determining a value of functional flow reserve of the subject at the location.

4. The apparatus according to claim 1 , wherein the computer processor is configured to determine the value of the luminal-flow-related index of the subject at the location, by determining a value of instantaneous wave-free ratio of the subject at the location.

5. The apparatus according to claim 1 , wherein the computer processor is configured to determine that the presence of the contrast agent appears at the first region of interest in the first angiographic image and that the presence of the contrast agent appears at the second region of interest in the second angiographic image by determining that a given concentration of the contrast agent appears at the first region of interest in the first angiographic image and that the given concentration of contrast agent appears at the second region of interest in the second angiographic image.

6. The apparatus according to claim 1 , wherein the computer processor is configured to determine that the presence of the contrast agent appears at the first region of interest in the first angiographic image and that the presence of the contrast agent appears at the second region of interest in the second angiographic image by determining that a bolus of the contrast agent appears at the first region of interest in the first angiographic image and that the bolus of the contrast agent appears at the second region of interest in the second angiographic image.

7. The apparatus according to claim 1 , wherein the computer processor is configured to determine that the presence of the contrast agent appears at the first region of interest in the first angiographic image and that the presence of the contrast agent appears at the second region of interest in the second angiographic image by determining that a given pattern of the contrast agent appears at the first region of interest in the first angiographic image and that the given pattern of contrast agent appears at the second region of interest in the second angiographic image.

8. The apparatus according to claim 1 , wherein the computer processor is configured to define the first and second regions of interest along the lumen in one of the angiographic images by defining the first and second regions of interest along a center line of the lumen in one of the angiographic images.

9. The apparatus according to claim 1 , wherein the at least one computer processor is further configured to generate a stabilized image stream of the lumen based upon the set of angiographic images, and wherein the computer processor is configured to generate the output by driving the display to display the stabilized image stream, and by generating, at a location that corresponds to the location and that is within the displayed image stream, an indication of the value of the flow-related index at the location.

10. The apparatus according to claim 1 , wherein the computer processor is configured to generate the output by driving the display to display an indication of the value of the flow-related index, using a color legend, on an image of the lumen.

11. The apparatus according to claim 1 , wherein the computer processor is configured to determine the value of the current flow-related parameter at the location using a machine-learning classifier, based upon at least the determined blood velocity and the geometry of the lumen at the location.

12. The apparatus according to claim 1 , wherein the computer processor is configured to determine the relationship between the value of the current flow-related parameter and the value of the second flow-related parameter by determining the relationship between the value of the current flow-related parameter and the value of the second flow-related parameter using a machine-learning classifier.

13. The apparatus according to claim 1 , wherein the computer processor is configured to generate the output by:

in response to the luminal-flow-related index passing a first threshold value, generating an output indicating that treatment of the subject is recommended; and

in response to the luminal-flow-related index passing a second threshold value but not passing the first threshold value, generating an output recommending that the luminal-flow-related index be measured using a sensor that is inserted into the lumen.

14. The apparatus according to claim 1 , wherein the computer processor is configured to:

receive a second set of angiographic images of the lumen obtained by the imaging device at a time when the lumen was healthy prior to the formation of the stenosis;

determine, by imaging processing the second set of angiographic images, a second blood velocity within the lumen at the location; and

receive the indication of the value of the second flow-related parameter of the subject based on the determined second blood velocity.

15. The apparatus according to claim 1 , wherein:

the location includes a location at the stenosis;

the computer processor is configured to receive the indication of the value of the second flow-related parameter of the subject by receiving an indication of a value of blood pressure of the subject at a location that is upstream of the stenosis;

the computer processor is configured to determine the value of the current flow-related parameter at the stenosis by determining a value of current blood pressure at the stenosis based upon the determined blood velocity and the geometry of the lumen at the stenosis; and

the computer processor is configured to determine the relationship between the value of the current flow-related parameter and the value of the second flow-related parameter by comparing the current blood pressure at the stenosis to the subject's blood pressure at the location that is upstream of the stenosis.

16. The apparatus according to claim 15 , wherein the computer processor is configured to receive the indication of the value of the blood pressure of the subject at the location that is upstream of the stenosis by receiving an indication of a value of aortic blood pressure of the subject.

17. The apparatus according to claim 1 , wherein the computer processor is configured to receive the indication of the value of the second flow-related parameter of the subject by receiving the indication of the value of the second flow-related parameter of the subject, based upon patient history of the subject.

18. The apparatus according to claim 17 , wherein:

the computer processor is configured to receive the indication of the value of the second flow-related parameter of the subject by receiving at least one previously-acquired angiographic image of the subject's lumen,

the computer processor is further configured to derive a value of flow within the lumen at a time of acquisition of the previously-acquired angiographic image,

the computer processor is configured to determine the value of the current flow-related parameter at the stenosis by determining a value of current flow at the location based upon the determined blood velocity and the geometry of the lumen at the location; and

the computer processor is configured to determine the relationship between the value of the current flow-related parameter and the value of the second flow-related parameter by determining a relationship between the value of the current flow at the location and the value of the derived flow within the lumen at the time of acquisition of the previously-acquired angiographic image.

19. The apparatus according to claim 17 , wherein:

the computer processor is configured to receive the indication of the value of the second flow-related parameter of the subject by receiving at least one previously-acquired angiographic image of the subject's lumen,

the computer processor is further configured to derive a value of blood velocity within the lumen at a time of acquisition of the previously-acquired angiographic image,

the computer processor is configured to determine the value of the current flow-related parameter at the stenosis by determining a value of current blood velocity at the location based upon the determined blood velocity and the geometry of the lumen at the location; and

the computer processor is configured to determine the relationship between the value of the current flow-related parameter and the value of the second flow-related parameter by determining a relationship between the value of the current blood velocity at the location and the value of the derived blood velocity within the lumen at the time of acquisition of the previously-acquired angiographic image.

20. The apparatus according to claim 1 , wherein the computer processor is configured to determine geometry of the lumen at the location, based upon the received indication of the geometry of the lumen.

21. The apparatus according to claim 20 , wherein the computer processor is configured to determine the value of the current flow-related parameter at the location using a machine-learning classifier, based upon the determined lumen geometry and the determined blood velocity.

22. The apparatus according to claim 20 , wherein the computer processor is configured to:

receive the indication of the geometry of the lumen by receiving at least one of the set of angiographic images, and

determine geometry of the lumen at the location by determining a cross-sectional area of the lumen by performing quantitative vessel analysis on the at least one of the set of angiographic images.

23. The apparatus according to claim 20 , wherein the computer processor is configured to:

receive the indication of the geometry of the lumen by receiving at least one of the set of angiographic images, and

determine geometry of the lumen at the location by determining a cross-sectional area of the lumen by performing densitometry on the at least one of the set of angiographic images.

24. A method for use with a set of angiographic images of a lumen of a subject's body, the method comprising:

receiving the set of angiographic images of the lumen of the subject's body during travel of a contrast agent through the lumen; and

using at least one computer processor:

via image processing, determining blood velocity within the lumen, by:

defining a first region of interest and a second region of interest along the lumen in one of the angiographic images;

identifying the first and second regions of interest in a first angiographic image and a second angiographic image;

determining a distance between the first and second regions of interest;

determining that a presence of the contrast agent appears at the first region of interest in the first angiographic image and that the presence of the contrast agent appears at the second region of interest in the second angiographic image; and

determining an amount of time that it took for the contrast agent to travel from the first region of interest to the second region of interest, based upon an interval between an acquisition of the first angiographic image and an acquisition of the second angiographic image;

receiving an indication of geometry of the lumen at a location within the lumen;

determining a value of a current flow-related parameter at the location based upon the determined blood velocity and the geometry of the lumen at the location, wherein the current flow-related parameter is representative of blood flow at the location when the lumen includes a stenosis;

receiving an indication of a value of a second flow-related parameter of the subject, wherein the second flow-related parameter is representative of the blood flow at the location when the lumen is healthy prior to a formation of the stenosis;

determining a value of a luminal-flow-related index of the subject at the location, by determining a relationship between the value of the current flow-related parameter and the value of the second flow-related parameter; and

generating an output in response to the determined value of the luminal-flow-related index.