Title: Adaptive coupled diffusion model for vessel image enhancement

Authors: Yongqiang Zhao, Minglu Li, Jun Ni

Addresses: Medical Imaging HPC and Informatics Lab, Department of Radiology, The University of Iowa, Iowa City, IA 52246, USA; Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 730060, China. ' Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 730060, China. ' Medical Imaging HPC and Informatics Lab, Department of Radiology, The University of Iowa, Iowa City, IA 52246, USA

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 couple 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: image enhancement; diffusion filters; adaptive diffusion modelling; coupled diffusion modelling; nonlinear diffusion modelling; crease enhancement diffusion; CED filters; shock filters; total variation filters; vascular structures; medical imaging; image sharpening; image denoising; clinical images; blood vessels; blood vessel images.

DOI: 10.1504/IJCSE.2011.042019

International Journal of Computational Science and Engineering, 2011 Vol.6 No.3, pp.160 - 167

Published online: 18 Mar 2015 *

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