NDLI: An Accurate Mutual Information-based Registration of Digitized

Content Provider	IEEE Xplore Digital Library
Author	Aouadi, S. Sarry, L.
Copyright Year	2007
Description	Author affiliation: INSERM, ERIM ERI 14, Clermont-Ferrand (Aouadi, S.; Sarry, L.)
Abstract	This paper addresses the problem of estimating the 3D rigid pose of an object from its digitized X-ray projection. Certain applications in medical image analysis or non-destructive testing demand an extremely high level of accuracy: early detection of orthopedic prosthesis migration or the detection of defects or occlusion in manufactured objects requires sub-millimeter precision. It is also possible after registration to use subtraction to enhance features absent from the shape model. We considered the cases of homogeneous (CAD models) and inhomogeneous (map obtained from tomodensitometry) X-ray attenuation in an optimization framework based on a mutual information similarity measure(SM). Pose is recovered with submillimeter accuracy and high precision for both screen-film and computed radiographs by three major enhancements of the existing iconic methods: i) special care is given to the model of Parzen distribution used in the mutual information estimator (data pre-sphering in the bivariate case and bandwidth estimation in the univariate case); ii) a quasi-global optimization scheme based on the stochastic clustering is used in conjunction with an object mesh resampling stage to reduce variance of the final pose estimator; iii) nonlinear response of screen-film radiographs is also modeled
Starting Page	54
Ending Page	54
File Size	1647087
Page Count	1
File Format	PDF
ISBN	0769527949
ISSN	15505790
DOI	10.1109/WACV.2007.11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-02-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Object detection Mutual information Radiography X-ray imaging Biomedical imaging Image analysis Medical tests Nondestructive testing Orthopedic surgery Prosthetics
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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