Share Email Print
cover

Proceedings Paper

Assessment of femoral bone quality using co-occurrence matrices and adaptive regions of interest
Author(s): Karl David Fritscher; Benedikt Schuler; Agnes Grünerbl; Markus Hänni; Karsten Schwieger; Norbert Suhm; Rainer Schubert
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The surgical treatment of femur fractures, which often result from osteoporosis, is highly dependent on the quality of the femoral bone. Unsatisfying results of surgical interventions like early loosening of implants may be one result of altered bone quality. However, clinical diagnostic techniques to quantify local bone quality are limited and often highly observer dependent. Therefore, the development of tools, which automatically and reproducibly place regions of interest (ROI) and asses the local quality of the femoral bone in these ROIs would be of great help for clinicians. For this purpose, a method to position and deform ROIs automatically and reproducibly depending on the size and shape of the femur will be presented. Moreover, an approach to asses the femur quality, which is based on calculating texture features using co-occurrence matrices and these adaptive regions, will be proposed. For testing purposes, 15 CT-datasets of anatomical specimen of human femora are used. The correlation between the texture features and biomechanical properties of the proximal femoral bone is calculated. First results are very promising and show high correlation between the calculated features and biomechanical properties. Testing the method on a larger data pool and refining the algorithms to further increase its sensitivity for altered bone quality will be the next steps in this project.

Paper Details

Date Published: 30 March 2007
PDF: 9 pages
Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65141K (30 March 2007); doi: 10.1117/12.709371
Show Author Affiliations
Karl David Fritscher, Univ. for Health Sciences, Medical Informatics and Technology (Austria)
Benedikt Schuler, Univ. for Health Sciences, Medical Informatics and Technology (Austria)
Agnes Grünerbl, Univ. for Health Sciences, Medical Informatics and Technology (Austria)
Markus Hänni, AO Foundation (Switzerland)
Karsten Schwieger, AO Foundation (Switzerland)
Norbert Suhm, AO Foundation (Switzerland)
Rainer Schubert, Univ. for Health Sciences, Medical Informatics and Technology (Austria)


Published in SPIE Proceedings Vol. 6514:
Medical Imaging 2007: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

© SPIE. Terms of Use
Back to Top