Stent visualization and malapposition detection systems, devices, and methods
AssigneeLightLab Imaging, Inc.
InventorsAmr Elbasiony, Joel Friedman
Life of this patent
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Abstract
In part, the invention relates to computer-based methods, devices, and systems suitable for displaying stent malapposition in a 2-D or 3-D image. A threshold malapposition distance can be set as an input in response to which a software component in an imaging pipeline automatically detects stent struts and calculates a malapposition distance from a lumen contour. Projections of stent strut dimensions can be used to compensate for stent imaging artifacts results from imaging probe orientation in the lumen.
Claims19
A method of detecting stent malapposition in a blood vessel comprising:
- storing, in one or more memory devices, a stent malapposition threshold;
- storing, in one or more memory devices, a plurality of cross-sectional images of the blood vessel;
- detecting one or more stent struts in the plurality of cross-sectional images using a stent detection image data processing module;
- detecting a boundary of a lumen of the blood vessel by processing the image data using a lumen detection image data processing module;
- measuring a stent malapposition distance with respect to one or more stent struts using a stent malapposition detection image data processing module;
- comparing one or more stent malapposition distance;
- compensating for a sunflower effect or a blooming effect associated with light impinging on a detected stent strut by using a distance metric to measure a malapposition distance extending along a perpendicular to the detected boundary of the lumen to the detected stent strut;
- and
- displaying one or more indicia corresponding to a stent malapposition.
An automatic processor-based system for detecting stent malapposition on a per stent strut basis, the system comprising:
- one or more memory devices;
- and
- a computing device in communication with the memory device, wherein the memory device comprises instructions executable by the computing device to cause the computing device to:
- process, one or more image detection software modules, a plurality of images obtained from an optical coherence tomography pullback with respect to a blood vessel using a data collection probe such that a lumen border and a plurality of stent struts are detected;
- store a stent malapposition threshold value in one or more memory devices;
- generate a plurality of measurements perpendicular to and extending from the lumen border to a detected stent strut;
- compensate for a sunflower effect or a blooming effect associated with light impinging on a detected stent strut by using a distance metric to measure a malapposition distance extending along a perpendicular to the detected boundary of the lumen to the detected stent strut;
- and
- determine one or more instances of stent strut malapposition by comparing the malapposition threshold value to one or more of the plurality of measurements.
Dependencies are inferred from the claim text.