Automatic bone segmentation technique for CT angiographic studies
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Updated: Oct 24, 2026

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
Published on: March 14, 2018
M Fiebich1, C M Straus, V Sehgal
1Department of Radiology, University of Chicago, IL 60637, USA.
Purpose:
The purpose of this work was to develop and evaluate an automatic bone segmentation technique for CT angiographic studies.
Method:
An automatic bone segmentation scheme was developed and applied to 40 CT examinations. The results of the segmentation were evaluated subjectively by two radiologists.
Results:
The bone segmentation was, on average, rated between excellent and good. Automatic segmentation required approximately 25 s/case.
Conclusion:
With this high quality technique, bone can be segmented easily and accurately and subsequently can be removed from CT data sets for further 3D visualization and analysis of various organs.
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