ON THE OPTIMALITY OF MUTUAL INFORMATION AS AN IMAGE REGISTRATION OBJECTIVE FUNCTION

被引:3
|
作者
Zoellei, Lilla [1 ]
Wells, William M. [2 ]
机构
[1] Massachusetts Gen Hosp, Martinos Ctr Biomed Imaging, Charlestown, MA 02129 USA
[2] Brigham & Womens Hosp, Harvard Med Sch, Dept Radiol, Boston, MA 02115 USA
关键词
mutual information; optimum; pair-wise registration;
D O I
10.1109/ICIP.2009.5414178
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We model images and the anatomy that they are derived from as stationary and jointly ergodic random processes. Using an empirically-observed property of anatomy, and data processing inequality arguments, we arrive at optimality criteria for mutual information in the ensemble domain. Using ergodicity, we transfer the criteria to single pairs of images in the spatial domain, where it applies to the popular mutual information-based registration approach that is used in practice.
引用
收藏
页码:189 / +
页数:2
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