NDLI: The effect of grey levels on mutual information based medical image registration

Content Provider	IEEE Xplore Digital Library
Author	Jiarui Lin Zhiyong Gao Bangquan Xu Yangxiezi Cao Zhan Yingjian
Copyright Year	2004
Description	Author affiliation: Dept. of Biomed. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China (Jiarui Lin; Zhiyong Gao)
Abstract	Medical image registration is an active research field in medical image processing in the last two decades. One of the surveys of medical image registration is voxel-based method, which is generally considered as very accurate, almost fully automatic. The most efficient voxel-based method is maximization of mutual information (MI). In This work, we will discuss the effects of rescaling intensity values of an image on MI method, and then compare the registration results and computation time of the same image pairs with different grey levels. We implemented series rigid registration of CT and MR image, in each registration, the intensity values of CT and MR images are linearly reseated to the same range. We adopt 5 different levels in our experiments, i.e. 256, 128. 64, 32 and 16 grey levels to exploit the affection of grey levels on MI based registration method. We also count the time cost on the calculation of single MI value and the whole registration procedure. Finally we reach this conclusion that the results become worse with the reduction of grey levels of the image, and rescaling the intensity values of the original images into [0,63] is an excellent tradeoff in brain registration by mutual information.
Starting Page	1747
Ending Page	1750
File Size	929788
Page Count	4
File Format	PDF
ISBN	0780384393
DOI	10.1109/IEMBS.2004.1403524
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mutual information Biomedical imaging Image registration Histograms Biomedical engineering Biomedical image processing Computed tomography Probability distribution Costs Interpolation Rescaling intensity values Grey levels Efficient voxel - based mothod Mutual information (MI)
Content Type	Text
Resource Type	Article

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