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 μMR and segmented μCT 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.
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We acknowledge support by the Interdisciplinary Center of Clinical Research (IZKF) of the University of Erlangen (Core Unit Z2), and the German Research Foundation DFG (Forschergruppe 661, TP7). Parts of the study have been presented at Bildverarbeitung für die Medizin (BVM) 2009, Heidelberg, Germany.
Author information Authors and AffiliationsInstitute for Medical Physics, University of Erlangen-Nuremberg, Henkestr. 91, 91052, Erlangen, Germany
Oleg Museyko, Fabian Eisa, Willi A. Kalender & Klaus Engelke
Institute for Pharmacology and Toxicology, University of Erlangen-Nuremberg, Erlangen, Germany
Andreas Hess
Department of Internal Medicine 3, University of Erlangen-Nuremberg, Erlangen, Germany
Georg Schett
Correspondence to Oleg Museyko.
Additional informationAssociate Editor Sean S. Kohles oversaw the review of this article.
About this article Cite this articleMuseyko, O., Eisa, F., Hess, A. et al. Binary Segmentation Masks Can Improve Intrasubject Registration Accuracy of Bone Structures in CT Images. Ann Biomed Eng 38, 2464–2472 (2010). https://doi.org/10.1007/s10439-010-9981-x
Received: 17 April 2009
Accepted: 20 February 2010
Published: 05 March 2010
Issue Date: July 2010
DOI: https://doi.org/10.1007/s10439-010-9981-x
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