Document Detail

Medical image registration based on mutual information using kriging probability density estimation.
MedLine Citation:
PMID:  17282899     Owner:  NLM     Status:  PubMed-not-MEDLINE    
This paper proposes a new approach of Kriging Estimation (KE) to the problem of probability density estimation, which is critical during the registration of medical images using Mutual Information (MI). The author proposed that the linear coefficients of Kriging Interpolation have "probability character" which makes them appropriate to be utilized in probability estimation. KE is a complement of existent probability estimation methods, the experiments provided have proved its efficacy.
Chuanxin Niu
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  3     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2005  
Date Detail:
Created Date:  2007-02-06     Completed Date:  2012-10-02     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  3097-9     Citation Subset:  -    
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