Independent Component Analysis for Removing X-ray Scatter in X-ray Images

摘要

Cone beam CT has a capability for the 3-dimentional imaging of large volumes with isotropic resolution. But the main limitation of cone beam CT is a larger amount of x-ray scatter. The x-ray scatter may enhance the noise in the reconstructed images. In this paper, we propose a new method based on independent component analysis (ICA) for removing the x-ray scatter in the observed x-ray images. The observed x-ray images can be considered as a linear mixture of scattered x-ray and primary x-ray. We show that the scattered x-ray and the primary x-ray can be blindly separated from two observed x-ray images by the use of ICA. The results indicate that the proposed method is effective forremoving x-ray scatter from the x-ray images.