1 June 2003 Multiresolution vessel tracking in angiographic images using valley courses
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Optical Engineering, 42(6), (2003). doi:10.1117/1.1571829
Abstract
Vessel tracking is an essential step for 3-D reconstruction and quantitative analysis of angiograms. We present a multiresolution vessel tracking method and its application to 2-D coronary angiographic images. The method consists of: 1. multiresolution wavelet decomposition; 2. wavelet denoising; 3. vessel valley map generation in a low-resolution image; 4. vascular tree construction; 5. valley course refinement using a "peg-quiver" algorithm; and 6. lumen diameter calculation using a derivative-free edge detection algorithm. A vessel valley map consisting of all vessel valley points can be generated using a star-scan scheme, followed by local minima detection along each scanline. The vessel paths and vascular trees are then constructed by using a recursive "depth-first" searching scheme on the valley map. A peg-quiver refinement algorithm produces optimal valley courses in high-resolution images by alternatively pegging and quivering the control points and the interpolated points. With high-resolution valley courses, vessel boundary is defined by exploiting vessel cross-section profiles. Compared to centerline-based vessel tracking, the vessel-tracking scheme using valley courses exhibits more simplicity, effectiveness, and stability.
Zikuan Chen, Sabee Y. Molloi, "Multiresolution vessel tracking in angiographic images using valley courses," Optical Engineering 42(6), (1 June 2003). http://dx.doi.org/10.1117/1.1571829
JOURNAL ARTICLE
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KEYWORDS
Wavelets

Angiography

Detection and tracking algorithms

Denoising

Algorithm development

Image resolution

Edge detection

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