Stent detection methods and imaging system interfaces
The disclosure relates, in part, to computer-based visualization of stent position within a blood vessel. A stent can be visualized using intravascular data and subsequently displayed as stent struts or portions of a stent as a part of a one or more graphic user interface(s) (GUI). In one embodiment, the method includes steps to distinguish stented region(s) from background noise using an amalgamation of angular stent strut information for a given neighborhood of frames. The GUI can include views of a blood vessel generated using distance measurements and demarcating the actual stented region(s), which provides visualization of the stented region. The disclosure also relates to display of intravascular diagnostic information such as indicators. An indicator can be generated and displayed with images generated using an intravascular data collection system. The indicators can include one or more viewable graphical elements suitable for indicating diagnostic information such as stent information.
1. A stent detection method comprising:
imaging a blood vessel of a subject using a first imaging system to obtain a plurality of image datasets;
storing the plurality of image datasets in an electronic machine-readable memory device in communication with the first imaging system;
analyzing the plurality of image datasets to identify one or more shadows;
determining a location of one or more candidate stent struts in the one or more shadows;
analyzing an interior of the one or more shadows of the one or more candidate stent struts by computing a projection of samples in one or more of the plurality of image dataset, wherein each of the one or more image datasets comprises a plurality of scan lines;
scoring, using one or more software modules of the first imaging system, the one or more candidate stent struts; and
determining a candidate strut is a valid candidate strut based on the score of the candidate struts.
2. The method of claim 1 wherein the score is a relative score.
3. The method of claim 1 wherein determining a candidate strut is a valid candidate strut further comprises before cross-frame analysis to validate the candidate strut selected for validation based on its score.
4. The method of claim 1 wherein the score is assigned based on proximity of candidate stent strut to lumen boundary.
5. The method of claim 1 wherein the score is assigned based on peak strength associated with candidate stent strut.
6. The method of claim 1 wherein the score is assigned based on apposition of candidate stent strut relative lumen boundary or vessel wall.
7. The method of claim 1 wherein determining the location of one or more candidate stent struts comprises detecting one or more local maxima in the one or more shadows.
8. The method of claim 1 further comprising displaying, using user interface of the first imaging system, one or more valid candidate struts related to representation of blood vessel generated using one or more of the plurality of image datasets.
9. The method of claim 8 wherein the first imaging system is an intravascular imaging system.
10. The method of claim 9 , further comprising displaying an indicia relative to a region of the blood vessel that includes the valid candidate struts.
11. The method of claim 10 , wherein the indicia is an apposition bar aligned with the region of the blood vessel that includes the valid candidate struts.
12. The method of claim 8 wherein the first imaging system is an angiography system.
13. The method of claim 12 , further comprising displaying an indicia relative to a region of the blood vessel that includes the valid candidate struts.
14. The method of claim 13 , wherein the indicia is an apposition bar aligned with the region of the blood vessel that includes the valid candidate struts.
15. The method of claim 1 further comprising demarcating an angular offset of a group of candidate stent struts to create amalgamated angular gap data a group of adjacent image datasets; and determining a maximum angular gap between any two adjacent candidate struts.
16. The method of claim 15 classifying an image dataset as a stent-containing dataset frame if the maximum angular gap is smaller than a threshold angular gap.
17. A stent delivery planning system comprising:
a processor in communication with a graphical user interface and configured to send commands to a graphical user interface;
the graphical user interface configured to display intravascular image data in a first panel corresponding to a first view of a blood vessel;
the graphical user interface configured to display angiography data corresponding to a second view of the blood vessel in a second panel; and
one or more indicators selectable by the processor for overlay or inclusion in one or more of the first panel and second panel of the graphical user interface,
wherein at least one indicator is an apposition bar, the apposition bar comprising one or more indicia indicative of stent apposition changes along a longitudinal axis of the apposition bar.