Organ Surface Reconstruction using B-Splines and Hu Moments

The following article presents a combination of image processing and computer graphics methods which form an algorithm for 3D surface reconstruction of inner organs imaged using Computed Tomography. The presented method uses k-means clustering and Hu moments to filter desired contours from a large number detected in CT frames. Least- squares B-spline fitting is used to approximate the filtered contours and finally a B-spline surface is used to approximate the surface of the organ. The algorithm has been tested on several datasets, requires almost no human attention and creates high-quality surfaces in a versatile format that can be used in further applications.