Adaptive coupled diffusion model for vessel image enhancement

Authors:
Yongqiang Zhao;Minglu Li;Jun Ni
Affiliations:
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, Sh ...;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
Venue:
International Journal of Computational Science and Engineering
Year:
2011

Citing 11
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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.