DocumentCode :
2139707
Title :
Lattice Boltzmann Method Based Medical Image Segmentation
Author :
Chen, Yu
Author_Institution :
Sch. of Electron. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents a new LBM based image segmentation method. The mathematical deduction showed that the global equation of our model was very similar to the diffusion reaction equation. By testing our LBM-based model on the artificial images, the behavior of image segmentation was given. We also demonstrated the effectiveness of the algorithm in clinical images such as blood cell image and MR image. Experiment results show that our model is effective.
Keywords :
biomedical MRI; blood; image segmentation; lattice Boltzmann methods; medical image processing; MR image; artificial images; blood cell image; clinical images; diffusion reaction equation; lattice Boltzmann method; mathematical deduction; medical image segmentation; Anisotropic magnetoresistance; Biomedical engineering; Biomedical imaging; Equations; Image processing; Image segmentation; Lattice Boltzmann methods; Mathematical model; Microscopy; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5303505
Filename :
5303505
Link To Document :
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