A Self-Adapting Fast Reconstruction Method for High Resolution Images in Cone Beam CT

摘要

Reconstruction speed and image quality are the keys of 3D image reconstruction in cone beam CT (CBCT), this article have researched on the 3D image reconstruction in CBCT, and a self-adapting fast reconstruction method for high resolution images is presented. The method is based on the FDK algorithm and Z-line data first algorithm, which introduces the reconstruction task division algorithm based on Z-line truncation, and load algorithm of filtered projection images based on the VOI reconstruction region. It divide the reconstruction task in a self-adapting method according to the task amount and memory size, thus reduce the data load amount and frequency of filtered projection images. The experimental results show that the method achieves fast reconstruction speed for high resolution images in CBCT, and the image quality almost has no difference with FDK algorithm.