X-ray image feature detection and registration systems and methods

Abstract

The invention relates generally to the field of vascular system and peripheral vascular system data collection, imaging, image processing and feature detection relating thereto. In part, the disclosure more specifically relates to methods for detecting position and size of contrast cloud in an x-ray image including with respect to a sequence of x-ray images during intravascular imaging. Methods ofdetecting and extracting metallic wires from x-ray images are also described herein such as guidewires used in coronary procedures. Further, methods for of registering vascular trees for one or moreimages, such as in sequences of x-ray images, are disclosed. In part, the disclosure relates to processing, tracking and registering angiography images and elements in such images. The registration can be performed relative to images from an intravascular imaging modality such as, for example, optical coherence tomography (OCT) or intravascular ultrasound (IVUS).

Description

[0001] Cross References to Related Applications [0002] This application claims priority and benefit to US Provisional Patent Application no. 62 / 257,213, filed November 18, 2015, the disclosure of which is incorporated herein by reference in its entirety. technical field [0003] In part, the present invention relates generally to the field of vasculature and peripheral vasculature imaging and data acquisition. More specifically, and in part, the present invention relates to the detection and analysis of image features. Background technique [0004] X-ray images provide an important diagnostic tool in various disciplines. For example, interventional cardiologists use x-ray-based imaging systems in a variety of procedures and exams. As a specific type of x-ray imaging, angiographic imaging of blood vessels is often performed using fluoroscopy. Visualization of arteries during catheterization is a valuable diagnostic tool. This visualization aids in the planning and exec...

AI Technical Summary

Problems solved by technology

Therefore, all of these factors and others make it challenging to perform diagnostic intravascular imaging and registration as part of the image display and diagnostic process

In addition, challenges related to imaging, image analysis, and registration can negatively impact stent planning and other procedures that rely on these imaging data and associated diagnostic information

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