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Trabecular bone analysis in CT and X-ray images of the proximal femur for the assessment of local bone quality

Fritscher, Karl and Grunerbl, Agnes and Hanni, Markus and Suhm, Norbert and Hengg, Clemens and Schubert, Rainer. (2009) Trabecular bone analysis in CT and X-ray images of the proximal femur for the assessment of local bone quality. IEEE transactions on medical imaging, Vol. 28. pp. 1560-1575.

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Official URL: http://edoc.unibas.ch/dok/A6006380

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Abstract

Currently, conventional X-ray and CT images as well as invasive methods performed during the surgical intervention are used to judge the local quality of a fractured proximal femur. However, these approaches are either dependent on the surgeon's experience or cannot assist diagnostic and planning tasks preoperatively. Therefore, in this work a method for the individual analysis of local bone quality in the proximal femur based on model-based analysis of CT- and X-ray images of femur specimen will be proposed. A combined representation of shape and spatial intensity distribution of an object and different statistical approaches for dimensionality reduction are used to create a statistical appearance model in order to assess the local bone quality in CT and X-ray images. The developed algorithms are tested and evaluated on 28 femur specimen. It will be shown that the tools and algorithms presented herein are highly adequate to automatically and objectively predict bone mineral density values as well as a biomechanical parameter of the bone that can be measured intraoperatively.
Faculties and Departments:03 Faculty of Medicine > Bereich Operative Fächer (Klinik) > Innere Organe > Allgemein- und Viszeralchirurgie (Oertli)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Operative Fächer (Klinik) > Innere Organe > Allgemein- und Viszeralchirurgie (Oertli)
UniBasel Contributors:Suhm, Norbert
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:IEEE
ISSN:0278-0062
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:24 May 2013 09:21
Deposited On:24 May 2013 08:58

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