Xu Jianfeng, Gu Lixu
Department of Computer and Engineering, Shanghai Jiaotong University, Shanghai 200240, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2007 Aug;24(4):742-7.
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.
三维医学图像分割是计算机辅助手术和治疗的一项基础技术。存在多种分割算法，但我们仍希望有更高效、直观的评估方法用于验证。在本文中，在回顾现有验证方法之后，我们提出了一种用于三维图像分割验证的新方法。该方法的细节分两部分介绍：局部误差验证和全局准确性验证。然后，我们将其应用于验证实验中的三种典型分割算法以及一种用户提出的混合分割方法。还简要介绍了混合方法。实验结果表明，所提出的验证方法能够更准确、直观地评估所采用的分割方法。
