Binary segmentation masks can improve intrasubject registration accuracy of bone structures in CT images
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Updated: Jun 15, 2026

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
Published on: March 14, 2018
Oleg Museyko1, Fabian Eisa, Andreas Hess
1Institute for Medical Physics, University of Erlangen-Nuremberg, Henkestrasse 91, Erlangen, Germany, Oleg.Museyko@imp.uni-erlangen.de
Abstract:
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.

