Title :
Adaptive Coupled Diffusion Model for Vessel Image Enhancement
Author :
Zhao, Yongqiang ; Li, Minglu ; Ni, Jun
Author_Institution :
Shanghai Jiaotong Univ., Shanghai
Abstract :
Based on the recently-developed crease enhancement diffusion (CED) filter, and combined the sharpening qualities of shock filters with excellent edge preservation and excellent smoothing for flat regions of total variation(TV) filter, an adaptive coupled diffusion(ACD) filter is proposed to enhance the local coherence of vascular structures for medical images. This filter is tested on several experiments with synthetic and clinical images. The experimental results show the filter provides better performance for enhancement with further sharpening and denoising features.
Keywords :
blood vessels; diffusion; filtering theory; image enhancement; medical image processing; adaptive coupled diffusion filter; adaptive coupled diffusion model; crease enhancement diffusion filter; edge preservation; local coherence; medical images; shock filters; total variation filter; vascular structures; vessel image enhancement; Adaptive filters; Biomedical engineering; Biomedical imaging; Computer science; Diseases; Electric shock; Image enhancement; Noise reduction; Smoothing methods; TV;
Conference_Titel :
Computer and Computational Sciences, 2007. IMSCCS 2007. Second International Multi-Symposiums on
Conference_Location :
Iowa City, IA
Print_ISBN :
978-0-7695-3039-0
DOI :
10.1109/IMSCCS.2007.62