A New Method for Brain Vein Segmenting Based on Vessel Enhancing Filtering
10.3969/j.issn.1671-7104.2013.04.002
- VernacularTitle:基于血管增强滤波的脑部静脉分割新方法
- Author:
Xiu XU
1
;
Caixian ZHENG
;
Cheng WANG
;
Jiejun CHENG
Author Information
1. 上海交通大学医学院生物医学工程系
- Keywords:
susceptibility weighted images;
vein segmenting;
vessel enhancing filtering;
adaptive threshold segmenting;
adaptive threshold region growing fundus image
- From:
Chinese Journal of Medical Instrumentation
2013;(4):240-243,247
- CountryChina
- Language:Chinese
-
Abstract:
Objective To segment veins from brain susceptibility weighted images with inhomogeneous background and veins, noises and complex structures. Methods Based on vessel enhancing filtering, an adaptive threshold segmenting method and an adaptive threshold region growing method were proposed. The former method was used to exactly segment part of veins from the original images. Taking the veins segmented by the former method as seeds, the later method was used to extract nearly al the veins. Results For simulation data with serious noises and interferences, correct rate above 90% was achieved. And for clinical data, the veins were extracted accurately and the structures of veins were displayed clearly. Conclusions The methods can extract veins from the brain susceptibility weighted images exactly and avoid false segmentation of the other structures effectively. The methods are very robust and stable.
