红外与毫米波学报2003，Vol.22Issue(6)：441-446,6.
一种新的用于医学图像分割的几何活动轮廊模型
A NEW GEOMETRIC ACTIVE CONTOUR FOR MEDICAL IMAGE SEGMENTATION
摘要
Abstract
Generally, the segmentation of a medical image is difficult, because the medical image is often corrupted by norrupted by noise, and the anatomical shape in the medical image is complicated. In this paper presents a new geometric active contour scheme for medical image segmentation. First, we regularize the attraction force field in the geometric active contour model to extend the capture range of the object boundaries, and improve the ability of convergence to the concavities. Then, using a multi-scale scheme improve the boundary detection accuracy. In addition, combining the regularization and the multi-scale method, the proposed scheme can effectively suppress and eliminate the noise and the spurious edges in the medical images. Furthermore, the topology of the deforming curve can naturally change without and special topolygy handing procedures added to the scheme. This permits synchronously extracting several anatomical structures. The experiments on some medical images obtained from different medical imaging methods demonstrate that the proposed approach is competent for medical image segmentation.关键词
医学图像分割,几何活动轮廊,多尺度,Level Set 理论Key words
medical image segmentation/geometric active contour/multi-scale/level Set theory分类
信息技术与安全科学引用本文复制引用
岑峰,戚飞虎..一种新的用于医学图像分割的几何活动轮廊模型[J].红外与毫米波学报,2003,22(6):441-446,6.基金项目
国家自然科学基金(批准号60072029)资助项目 （批准号60072029）
