Title :
Registration of Multiple Medical Images Using N-dimensional Mutual Information
Author :
Ren, Changquan ; Liu, Qing ; Zhou, Yanhong ; Xu, Shenyang
Author_Institution :
Dept. of Comput., Hebei Normal Univ. of Sci. & Technol., Qinhuangdao
Abstract :
The medical image registration has been all confined in registering two images and rarely involved multiple images (three and more than three). Using the expanded mutual information measure (E-MIM) to register multiple images, which is inefficiency, can´t meet the clinical requirement, and mutual information (MI) values are not necessarily nonnegative. In this paper, we introduce an N-dimensional mutual information measure (N-MIM), which can ensure MI values are nonnegative, bounded to range from 1 to 2. At the same time, the rate of the registration has moved up. Then this definition is tested and proved to be effective on registration of multiple lumbar vertebra images through simulation.
Keywords :
image registration; medical image processing; N-dimensional mutual information measure; clinical requirement; expanded mutual information measure; medical image registration; multiple lumbar vertebra images; multiple medical images; Affine transformation; Mutual information; Rigid transformation; image registration;
Conference_Titel :
Information Science and Engineering, 2008. ISISE '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-2727-4
DOI :
10.1109/ISISE.2008.304