A multi-scale non-linear vessel enhancement technique
作者： B. Abdollahi , A. El-Baz , A. A. Amini
DOI: 10.1109/IEMBS.2011.6090975
关键词: Diffusion (business) 、 Edge-preserving smoothing 、 Pattern recognition 、 Smoothing 、 Computer vision 、 Statistical parameter 、 Mathematics 、 Expectation–maximization algorithm 、 Filter (signal processing) 、 Diffusion filter 、 Artificial intelligence 、 Image segmentation
摘要: We present an enhancement method based on nonlinear diffusion filter and statistical intensity approaches for smoothing extracting 3-D vascular system from Magnetic Resonance Angiography (MRA) data. Our distinguishes enhances the vessels other embedded tissues. The Expectation Maximization (EM) technique is employed with non-linear in order to find optimal contrast enhancing vessels; therefore, while dimming tissues around brightening vessels. smooths homogeneous regions preserving edges. EM finds parameters probability distribution of classes discriminate image. has been applied 4 MRA-TOF datasets consisting 300 images compared regularized Perona Malik filter. experimental results show that proposed image, keeping only eliminating signal In comparison, conventional keeps unwanted addition
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