Automatic 3D model generation based on matching of adaptive control points

Abstract

The use of a 3D model helps to diagnose and accurately locate a disease where it neither is possible, nor can be exactly measured in a 2D image. Therefore, highly accurate software for a 3D model of vessel is necessary and required for an accurate diagnosis of patients. In this regard, standard vessel is generated because the shape of the artery is different for each individual vessel, where the standard vessel can be adjusted to suit individual vessel. In this paper, a new approach for an automatic 3D model generation is proposed based on a matching of adaptive control points. The proposed method is carried out in three steps. First, standard and individual vessels are acquired. The standard vessel is acquired by projection of a 3D model, while the individual vessel is obtained through the first segmented vessel bifurcation. Secondly, the corresponding control points are matched between the standard and individual vessels, where a set of control and corner points are extracted automatically via the Harris corner detector. If control points exist between corner points in an individual vessel, they are adoptively interpolated in the corresponding standard vessel, proportional to the distance ratio, of which are then matched between the individual and standard vessels. Finally, the warping method is applied to the standard vessel to suit the individual vessel using the TPS (Thin Plate Spline) interpolation function. For experiments, the angiograms of various patients from a coronary angiography in Sanggye Paik Hospital are used.