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Elimination of the twist distortion in IVUS and CAG image fusion based on the Frenet-Serret formulas

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.