Post-PCI coronary analysis
Systems and methods for post-PCI coronary analysis. An example method includes accessing a plurality of angiographic images depicting at least one vessel of a patient's heart, the angiographic images including two or more post-percutaneous coronary intervention (post-PCI) images and one or more diagnostic images, wherein the post-PCI images depict a PCI location in which a PCI is included to revascularize a lesion, and wherein the diagnostic images depict the lesion; receiving, via a user interface presenting the post-PCI images, user input specifying positions of the PCI location in the post-PCI images; determining an index indicative of vascular function based on the angiographic images, wherein the index is derived based on a three-dimensional model of the portion of the patient's heart, and wherein individual portions of the diagnostic images depicting the lesion are masked during generation of three-dimensional model; and presenting, via the user interface, summary information associated with PCI, the summary information including at least the determined index.
1 . A method implemented by a system of one or more processors, the method comprising:
accessing a plurality of two-dimensional (2-D) angiographic images depicting at least one vessel of a patient's heart, the plurality of 2-D angiographic images including: at least one post-percutaneous coronary intervention (post-PCI) image and one or more diagnostic images, wherein the post-PCI images depict a PCI-treated location is included to revascularize a lesion, and wherein the diagnostic images depict the lesion;
receiving information specifying positions of the PCI-treated location in the post-PCI images;
masking individual portions of the diagnostic images during generation of a three-dimensional (3-D) model of the at least one vessel of the patient's heart, wherein the 3-D model is generated based on the at least one post-PCI image and the one or more diagnostic images while ignoring the individual portions of the one or more diagnostic images that are masked, wherein the at least one post-PCI image and the one or more diagnostic images used to generate the 3-D model depict the at least one vessel of the patient's heart from different viewpoints from each other;
determining an index indicative of vascular function derived based on the three-dimensional model; and
presenting, via a user interface, summary information associated with PCI, the summary information including at least the determined index.
2 . The method of claim 1 , wherein receiving the information specifying the positions of the PCI-treated location comprises presenting the post-PCI images via the user interface and receiving the information via user input.
3 . The method of claim 1 , wherein receiving the information specifying the positions of the PCI location in the post-PCI images comprises the system determining the positions of the PCI-treated location based on analyzing the post-PCI images.
4 . The method of claim 1 , wherein the three-dimensional model is generated based on matching features included in the 2-D angiographic images, and wherein the portions of the diagnostic images depicting the lesion are not used to generate the three-dimensional model.
5 . The method of claim 1 , wherein the positions of the PCI location are matched to corresponding positions of the diagnostic images, and wherein the corresponding positions are masked.
6 . The method of claim 1 , wherein the index is a fractional flow reserve value.
7 . The method of claim 1 , wherein the index is compared to a different index determined based on a set of diagnostic images depicting the at least one vessel of the patient's heart, and wherein the comparison is included in the summary information.
8 . The method of claim 7 , wherein the user interface includes:
a first portion associated with the different index, the first portion including:
the different index, and
a graphical representation of the at least one vessel, wherein colors are assigned to portions of the at least one vessel based on respective index drops associated with the different index, and
a second portion associated with the index, the second portion including:
the index, and
a graphical representation of the at least one vessel, wherein colors are assigned to portions of the at least one vessel based on respective index drops associated with the index.
9 . The method of claim 7 , wherein the set of diagnostic images comprises at least one of the one or more diagnostic images and at least one other diagnostic images.
10 . The method of claim 9 , wherein the summary information comprises a marked post-PCI index associated with a user-selected portion of the 3-D model and a marked diagnostic index associated with a corresponding portion of a diagnostic 3-D model based on the set of diagnostic images.
11 . The method of claim 9 , wherein the summary information comprises the 3-D model and a diagnostic 3-D model based on the set of diagnostic images, the 3-D model and the diagnostic 3-D model presented at a same viewing angle.
12 . The method of claim 9 , further comprising:
adjusting at least one value in the summary information associated with the PCI via the user interface,
presenting the adjusted at least one value via the user interface, and
in response to adjusting the at least one value, present an adjustment to a corresponding value in the summary information associated with the set of diagnostic images for comparison.
13 . The method of claim 1 , further comprising presenting, via the user interface, the plurality of 2-D angiographic images, the positions of the PCI-treated location in the post-PCI images and the individual portions of the diagnostic images depicting the lesion that are masked.
14 . The method of claim 1 , wherein the one or more diagnostic images is automatically selected from a plurality of diagnostic images based on a score determined by comparing each diagnostic image of the plurality of diagnostic images with the at least one post-PCI images.
15 . The method of claim 14 , wherein the plurality of diagnostic images comprises a set of diagnostic images used to determine a diagnostic index indicative of vascular function, the set of diagnostic images depicting the at least one vessel of the patient's heart captured at a time prior than when the at least one post-PCI images were captured.
16 . The method of claim 1 , further comprising presenting, via the user interface, a set of 2-D angiographic images, wherein the plurality of 2-D angiographic images are accessed from the set of 2-D angiographic images.
17 . The method of claim 16 , further comprising filtering the set of 2-D angiographic images into subsets based on at least one of a quality score for each 2-D angiographic image or a time stamp for each of the 2-D angiographic images.
18 . The method of claim 17 , wherein 2-D angiographic images in the subsets cannot be accessed for the plurality of 2-D angiographic images.
19 . The method of claim 1 , wherein two post-PCI images and one diagnostic image form the plurality of 2-D angiographic images.
20 . The method of claim 19 , wherein the one diagnostic image is selected from a threshold number of diagnostic images used to determine a diagnostic assessment associated with the lesion.
21 . The method of claim 1 , wherein the plurality of 2-D angiographic images comprises two post-PCI images and one diagnostic image.
22 . The method of claim 1 , wherein the index is derived from an analysis of the three-dimensional model.
23 . The method of claim 1 , wherein the plurality of 2-D angiographic images comprises at least two post-PCI images and at least one diagnostic image.
24 . The method of claim 1 , wherein the individual portions of the one or more diagnostic images that are masked depict the lesion.
25 . A system comprising one or more processors and non-transitory computer storage media storing instructions that when executed by the one or more processors, cause the one or more processors to:
access a plurality of two-dimensional (2-D) angiographic images depicting at least one vessel of a patient's heart, the plurality of 2-D angiographic images including: at least one post-percutaneous coronary intervention (post-PCI) images and one or more diagnostic images, wherein the post-PCI images depict a PCI-treated location is included to revascularize a lesion, and wherein the diagnostic images depict the lesion;
receive information specifying positions of the PCI-treated location in the post-PCI images;
mask individual portions of the diagnostic images during generation of a three-dimensional (3-D) model of the at least one vessel of the patient's heart, wherein the 3-D model is generated based on the at least one post-PCI image and the one or more diagnostic images while ignoring the individual portions of the one or more diagnostic images that are masked, wherein the at least one post-PCI image and the one or more diagnostic images used to generate the 3-D model depict the at least one vessel of the patient's heart from different viewpoints from each other;
determine an index indicative of vascular function derived based on the three-dimensional model; and
present, via a user interface, summary information associated with PCI, the summary information including at least the determined index.
26 . A non-transitory computer storage media storing instructions that when executed by a system of one or more processors, cause the system to:
access a plurality of two-dimensional (2-D) angiographic images depicting at least one vessel of a patient's heart, the plurality of 2-D angiographic images including at least one post-percutaneous coronary intervention (post-PCI) images and further including one or more diagnostic images, wherein the post-PCI images depict a PCI-treated location is included to revascularize a lesion, and wherein the diagnostic images depict the lesion;
receive information specifying positions of the PCI-treated location in the post-PCI images;
mask individual portions of the diagnostic images during generation of a three-dimensional (3-D) model of the at least one vessel of the patient's heart, wherein the 3-D model is generated based on the at least one post-PCI image and the one or more diagnostic images while ignoring the individual portions of the one or more diagnostic images that are masked, wherein the at least one post-PCI image and the one or more diagnostic images used to generate the 3-D model depict the at least one vessel of the patient's heart from different viewpoints from each other;
determine an index indicative of vascular function derived based on the three-dimensional model; and
present, via a user interface, summary information associated with PCI, the summary information including at least the determined index.