Pulmonary Parenchyma Segmentation in CT Image Based on Improved Fast Marching Method

Author

Yao, Fengjie ; Sun, XiWen ; Nie, Shengdong ; Chen, Zhaoxue

Author_Institution

Opt. & Electron. Inf. Eng. Coll., Shanghai

fYear

2008

Firstpage

2530

Lastpage

2532

Abstract

A computerized scheme used for pulmonary parenchyma segmentation in CT images is developed based on improved fast marching and mathematical morphology methods. Firstly, apply the mathematical morphology to remove the noise and extract the gradient feature. And then, an improved fast marching method, in which speed function is confined by a threshold parameter, is used to segment pulmonary parenchyma in CT images. Experiment results showed that this method can segment pulmonary parenchyma correctly.

Keywords

computerised tomography; diagnostic radiography; feature extraction; image denoising; image segmentation; lung; mathematical morphology; medical image processing; CT image; computerized scheme; fast marching method; gradient feature extraction; image noise removal; mathematical morphology methods; pulmonary parenchyma segmentation; speed function; threshold parameter; Biomedical imaging; Cancer; Computed tomography; Educational institutions; Equations; Hospitals; Image segmentation; Level set; Medical diagnostic imaging; Morphology;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1747-6

Electronic_ISBN

978-1-4244-1748-3

Type

conf

DOI

10.1109/ICBBE.2008.966

Filename

4535846