Layer-dependent Multi-constrained Algorithms Based on Improved Level Set for Segmentation of Teeth MRI-UTE Image
10.3969/j.issn.1671-7104.2013.04.007
- VernacularTitle:MRI-UTE牙齿图像分割的分层约束矫正的改进水平集算法
- Author:
Caixian ZHENG
1
;
Xiu XU
;
Cheng WANG
;
Xiuxia YE
Author Information
1. 上海交通大学医学院生物医学工程系
- Keywords:
Teeth MRI-UTE image;
segmentation process;
layer-dependent multi-constrained;
level set
- From:
Chinese Journal of Medical Instrumentation
2013;(4):258-263
- CountryChina
- Language:Chinese
-
Abstract:
Objective To introduce algorithms for effective segmentation of teeth MRI-UTE image. Methods To contruct second-segmentation algorithm process based on layer-dependent multi-constrained method. Firstly, a level set method was used to segment the initial boundary from the region determined by user in the reference slice. Secondly, both crown and root of the tooth were segmented by the improved level set method which took the information of the former layer's result as constraint conditions. Final y, the improved level set based on the information of the former and later layer’s results was executed for the second time to improve the accuracy of segmentation, in which, the parameter of the overlapping ratio was considered. Results The accuracy was 86.98% for the first-segmentation and was increased to 88.35% for the second-segmentation. Compared to the two other methods, the accuracy of the algorithms provided was improved significantly (P<0.05). Conclusions The proposed algorithms can effectively achieve the segmentation of teeth MRI-UTE image and has a great improvement on accuracy.
