A segmentation scheme of brainstem and cerebellum using scale-based fuzzy connectedness and deformable contour model

被引：7

作者：

Lee, Jiann-Der ^{[1
]}

Wang, Neng-Wei ^{[1
]}

Huang, Chung-Hsien ^{[1
]}

Liu, Li-Chang ^{[1
]}

Lu, Chin-Song ^{[1
]}

机构：

[1] Chang Gung Univ, Dept Elect Engn, Tao Yuan, Taiwan

来源：

2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2005年

关键词：

D O I：

10.1109/ISIT.2005.1523376

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

A semi-automatic multiple-stage segmentation scheme of brainstem and cerebellum is proposed in this paper. This proposed scheme contains a modified Scale-based Fuzzy Connectedness (FC) algorithm, a morphology operator, Chain code, and Active Contour Mode (ACM). A modified Scale-based FC is utilized to delivery a rough segmentation, a morphology operator and Chain code are used to compensate the uncompleted small regions and derive an initial contour, and ACM is employed to obtain the final object boundary with the aid of the initial contour from the previous stages. The experimental results verify that the segmentation results using the proposed scheme are more accurate than using a single algorithm based on a Scale-Based FC method.

引用

页码：459 / 462

页数：4

共 9 条

[1] Application of active contour models in medical image segmentation [J].