Abstract:
Vessel extraction and vessel motion estimation from X-ray angiograms has been a challenging computer vision problem for several years. We have developed a fast and accura...Show MoreMetadata
Abstract:
Vessel extraction and vessel motion estimation from X-ray angiograms has been a challenging computer vision problem for several years. We have developed a fast and accurate method for extracting and tracking intravascular imaging data from X-ray angiograms. We accomplish this by reconstructing a moving 3D vessel, which contains more information than the static 2D snapshot image. Our approach involves identifying the vessel-of-interest in two biplane images, abstracting them into centerlines, and tracking them in ensuing images using deformable templates and graph techniques for optimization. When tested on fifteen patient datasets, the computational time was approximately 5 seconds per vessel per frame for vessels of length 80-100 mm.
Published in: 2007 IEEE International Conference on Image Processing
Date of Conference: 16 September 2007 - 19 October 2007
Date Added to IEEE Xplore: 12 November 2007
ISBN Information: