Abstract
This paper describes vessel enhancing diffusion (VED) filters implemented using the Insight Toolkit (ITK). The filters are implementation of the VED algorithm developed by Manniesing et al . The VED algorithm follows a multiscale approach to enhance vessels using anisotropic diffusion scheme guided by vesselness measure at a pixel level. Vesselness is determined by geometrical analysis of the Eigen system of the Hessian matrix. For this purpose, a smoothed version of the Frangi's vesselness function is formulated. Experiments were conducted to evaluate the performance of the VED filters in enhancing vessels in lung CT scan.