Paper
8 November 2010 Elimination of the twist distortion in IVUS and CAG image fusion based on the Frenet-Serret formulas
Hongxiao Li, Zhaoxia Zhang, Xiaodong Chen, Daoyin Yu
Author Affiliations +
Abstract
Cardiovascular disease can be diagnosed at higher accuracy by the fusion of IVUS (Intravascular Ultrasound) and CAG (Coronary Angiography) data. In the IVUS images acquisition process, pull-back path of the ultrasonic probe will twist due to intravascular blood flow and friction with vascular wall, which causes image distortion in the fusion of such IVUS images. In this paper, a new method used for reducing the twist between adjacent frames of IVUS is presented. First, we establish a rough perspective projection imaging model from the crossing information of two almost perpendicular projective angiography images. Then we use a discrete approximation of the Frenet-Serret formulas to calculate IVUS frames' relative twist by sequential triangulation method and correct the twist. Finally, coronary lumen data extracted from the corrected IVUS images are added to 3D transducer paths which are reconstructed by the model mentioned above. Reconstruction of the coronary artery which contains the lumen information of IVUS removes blind spots in CAG and provides a full view of artery which is absent in IVUS images.
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Hongxiao Li, Zhaoxia Zhang, Xiaodong Chen, and Daoyin Yu "Elimination of the twist distortion in IVUS and CAG image fusion based on the Frenet-Serret formulas", Proc. SPIE 7845, Optics in Health Care and Biomedical Optics IV, 784506 (8 November 2010); https://doi.org/10.1117/12.869389
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KEYWORDS
Intravascular ultrasound

Angiography

Image fusion

Distortion

3D image processing

3D image reconstruction

3D modeling

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