首页> 外文会议>BMEI 2012;International Conference on Biomedical Engineering and Informatics >Evaluation of 3D correspondence methods for building point distribution models of the kidney
【24h】

Evaluation of 3D correspondence methods for building point distribution models of the kidney

机译:评估肾脏构建点分布模型的3D对应方法

获取原文
获取原文并翻译 | 示例

摘要

Statistical shape models (SSM) in general and point distribution models (PDM) in particular, are used for a variety of medical applications. A prerequisite condition to build a PDM is to establish the correspondences between landmarks across sample models in a given training population. Previously both image registration based correspondence building algorithms as well as surface parameterization based correspondence establishment algorithms have been proposed. In this paper, we present comparative studies on 25 kidney samples of two state-of-the-art correspondence methods. More specifically, we compare a diffeomorphic demons image registration algorithm based correspondence method to a surface parameterization based method where the correspondences are optimized with Minimal Description Length (MDL) principle. The results suggest that the studied image registration based correspondence method has a superior performance over the studied surface parameterization based method.
机译:一般而言,统计形状模型(SSM)特别是点分布模型(PDM)被用于各种医疗应用。建立PDM的前提条件是要在给定的训练总体中跨样本模型建立界标之间的对应关系。先前已经提出了基于图像配准的对应建立算法以及基于表面参数化的对应建立算法。在本文中,我们对两种最先进的对应方法对25个肾脏样本进行比较研究。更具体地说,我们将基于微分形魔鬼图像配准算法的对应方法与基于表面参数化的方法进行了比较,该方法使用最小描述长度(MDL)原理优化了对应关系。结果表明,所研究的基于图像配准的对应方法具有优于所研究的基于表面参数化的方法的性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号