NDLI: Stochastic Inverse Consistent Registration

Content Provider	IEEE Xplore Digital Library
Author	Sai Kit Yeung Pengcheng Shi
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon (Sai Kit Yeung)
Abstract	An essential goal in medical image registration is, the forward and reverse mapping matrices should be inverse to each other, i.e., inverse consistent. Conventional approaches enforce such consistency in deterministic fashions, either through incorporation of sub-objective cost function to impose consistent property during the registration process or by construction of consistent mapping on predetermined landmarks sets. Assuming that the initial forward and reverse matching matrices have been computed and used as the inputs to our system, this paper presents a stochastic framework which yields perfect consistent registration. During the optimization process to reach the perfect consistency, we model the errors of the registration matrices and the imperfectness of the consistent constraint as stochastic processes. An iterative generalized total least square (GTLS) strategy has been developed so that consistency is optimally imposed
Starting Page	7672
Ending Page	7675
File Size	397097
Page Count	4
File Format	PDF
ISBN	0780387414
DOI	10.1109/IEMBS.2005.1616289
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stochastic processes Cost function Biomedical imaging Image registration Stochastic systems Biomedical engineering Constraint optimization Least squares methods Uncertainty Iterative algorithms
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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