[A novel validation method based on radial distance error for 3D medical image segmentation].
3D medical image segmentation is a fundamental technique for computer assisted surgery and therapy. There exist various segmentation algorithms, but still we hope to have a more efficient and intuitive evaluation method for validation. In this paper, after reviewing the existing validation methods, we propose a new approach for 3D image segmentation validation. The details of the method are introduced in two parts: local error validation and global accuracy validation. Then, we apply it to validate three typical segmentation algorithms and a user proposed hybrid segmentation method in our experiment. The hybrid approach is also briefly introduced. The experimental results reveal that the proposed validation method can evaluate the employed segmentation methods more accurately and intuitionally.
Xu
Jianfeng
J
Department of Computer and Engineering, Shanghai Jiaotong University, Shanghai 200240, China. xujf@sjtu.edu.cn
Gu
Lixu
L
D000465:Algorithms; D003952:Diagnostic Imaging / Q000295:instrumentation / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*