DSA画像における不均等移動補正を用いたregistration法の開発

概要

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Misregistration artifact is the major cause of image degradation in digital subtraction angiography(DSA). As three-dimensional movement of the body causes uneven misregistration on two-dimensional images, conventional linear correction is not sufficient. We developed a nonlinear geometric warping technique. Using a local least-square matching method, we obtained the shift values sampled at 49 reference points in a 512×512 matrix. They were then fitted to the spline function to calculate pixel-by-pixel shift values. With these values, nonlinear geometric warping of the mask image followed. As a result, misregistration artifact was almost non-existent in the processed images, and vascular anatomy was clearly delineated even in the skull base region. This newly proposed method is a simple, practical way to reduce misregistration artifacts in DSA.
公益社団法人日本放射線技術学会の論文
1997-12-20