Document Detail


Binary segmentation masks can improve intrasubject registration accuracy of bone structures in CT images.
MedLine Citation:
PMID:  20204700     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Registration of bone structures is a common problem in medical research as well as in clinical applications. Intrasubject rigid 3D monomodality registration of segmented bone structures of CT images and multimodality registration of muMR and segmented muCT bone images were performed with the multiresolution intensity-based technique implemented in ITK. The registration results for binary volumes of interest (VOI) masks and for segmented gray value VOIs were compared. To determine the registration quality, in the monomodality case the sum of squared difference, the sum of absolute differences, and the normalized symmetric difference of binary masks and in the multimodality case Mattes mutual information were applied. The use of binary VOI masks was significantly superior to the use of gray value VOIs.
Authors:
Oleg Museyko; Fabian Eisa; Andreas Hess; Georg Schett; Willi A Kalender; Klaus Engelke
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-03-05
Journal Detail:
Title:  Annals of biomedical engineering     Volume:  38     ISSN:  1573-9686     ISO Abbreviation:  Ann Biomed Eng     Publication Date:  2010 Jul 
Date Detail:
Created Date:  2010-06-09     Completed Date:  2010-09-10     Revised Date:  2013-05-30    
Medline Journal Info:
Nlm Unique ID:  0361512     Medline TA:  Ann Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2464-72     Citation Subset:  IM    
Affiliation:
Institute for Medical Physics, University of Erlangen-Nuremberg, Henkestrasse 91, Erlangen, Germany, Oleg.Museyko@imp.uni-erlangen.de
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MeSH Terms
Descriptor/Qualifier:
Aged
Aged, 80 and over
Diagnostic Imaging*
Female
Humans
Middle Aged

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