Title :
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
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;
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
DOI :
10.1109/ICBBE.2008.966
