Medical image segmentation on the basic of a variational level set

Author

Yu, Hengguo ; Shen, Changchun ; Liu, Xiaoyun ; Chen, Wufan

Author_Institution

Sch. of Math. Sci., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2010

fDate

10-13 June 2010

Firstpage

5

Lastpage

8

Abstract

In this paper, on the basis of techniques of curve evolution, we propose a novel variational level set model for segmentation of intensity inhomogeneity images. The model is integrated with some advantages of fitting statistical model and region-based active contour model to the intensity in each of a set of regions. Furthermore, the experimental results show the validity of this model for various image modalities. All of these results may be useful in the study of the image segmentation.

Keywords

biomedical MRI; computerised tomography; image segmentation; medical image processing; variational techniques; curve evolution; intensity inhomogeneity images; medical image segmentation; region-based active contour model; statistical model fitting; variational level set; Active contours; Automation; Bayesian methods; Biomedical imaging; Electronic mail; Image analysis; Image segmentation; Level set; Mathematical model; Mathematics;

fLanguage

English

Publisher

ieee

Conference_Titel

Medical Image Analysis and Clinical Applications (MIACA), 2010 International Conference on

Conference_Location

Guangdong

Print_ISBN

978-1-4244-8011-1

Type

conf

DOI

10.1109/MIACA.2010.5528276

Filename

5528276