Title :
Application of Lattice Boltzmann Method to Image Segmentation
Author :
Yu Chen ; Zhuangzhi Yan ; Jun Shi
Author_Institution :
Shanghai Univ., Shanghai
Abstract :
This paper presents a novel image segmentation algorithm based on Lattice Boltzmann Method (LBM). The anisotropic diffusion model was derived from the LBM. As a numerical tool to solving the partial differential equation, its stability was proved in theory and its accuracy was demonstrated. The algorithm was evaluated with the clinical images of CT, DSA, and MRI. The experimental results show the LBM-based image segmentation algorithm is effective.
Keywords :
biomedical MRI; computerised tomography; image segmentation; lattice Boltzmann methods; medical image processing; partial differential equations; CT; DSA; MRI; anisotropic diffusion model; image segmentation; lattice Boltzmann method; partial differential equation; Anisotropic magnetoresistance; Biomedical engineering; Distribution functions; Image processing; Image segmentation; Lattice Boltzmann methods; Mathematical model; Navier-Stokes equations; Partial differential equations; Stability; Image segmentation; Lattice Boltzmann method; diffusion model; Algorithms; Angiography, Digital Subtraction; Anisotropy; Brain; Humans; Magnetic Resonance Imaging; Radiographic Image Interpretation, Computer-Assisted; Tomography, X-Ray Computed;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353863
