Application of Lattice Boltzmann Method to Image Segmentation

Author

Yu Chen ; Zhuangzhi Yan ; Jun Shi

Author_Institution

Shanghai Univ., Shanghai

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

6561

Lastpage

6564

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4353863

Filename

4353863