NDLI: An information-theoretic detector based scheme for registration of speckled medical images

Content Provider	IEEE Xplore Digital Library
Author	Zhe Wang Slabaugh, G. Unal, G. Mengchu Zhou Tong Fang
Copyright Year	2007
Description	Author affiliation: New Jersey Inst. of Technol., Newark (Zhe Wang)
Abstract	Several studies dealt with medical ultrasound registration. Their similarity metrics relied on pixel-to-pixel intensity comparisons. Hence, they are not well suited to the case of speckled images. To better handle the speckle noise, our previous work proposed an information-theoretic feature detector-based registration approach. This work aims to extend it to the cases where the image speckle model is Rayleigh or normalized Fisher-Tippett distributed. Using speckle modeling based on these distributions, a speckle-specific information- theoretic feature detector is constructed and applied to provide feature images. Those feature images are then registered using differential equations, the solution of which provides a transformation to bring the images into alignment. Compared to standard gradient-based techniques, the experimental results demonstrate the effectiveness of our method, particularly for low contrast ultrasound images.
Starting Page	1026
Ending Page	1030
File Size	750366
Page Count	5
File Format	PDF
ISBN	9781424409907
DOI	10.1109/ICSMC.2007.4413864
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-07
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detectors Biomedical imaging Speckle Ultrasonic imaging Medical diagnostic imaging Image registration Computer vision Pixel Maximum likelihood estimation Information theory biomedical image processing Speckle Image information theory
Content Type	Text
Resource Type	Article

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