Generation of 3D Fusion Image Based on Stochastic Point-based Rendering

Abstract

In medical, scientific and other fields, transparent surface visualization is useful to investigate inner 3D structures. Such visualization usually uses the polygon graphics, where the polygons must be sorted along the line of sight. The sorting, however, requires long computation time for large-scale data. Besides order of polygons in the sorting often becomes indefinite especially for intersecting surfaces. On the other hand, the stochastic point-based rendering was proposed as a transparent-rendering method which does not require sorting. In addition, the important feature of this method is to generate the particles first only once. The purpose of this paper is to create 3D fusion images, such as volume, surface, cross-section surface and contour line, based on the stochastic point-based rendering.