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Document type:
journal article
Author(s):
Baum, T; Carballido-Gamio, J; Huber, MB; Müller, D; Monetti, R; Räth, C; Eckstein, F; Lochmüller, EM; Majumdar, S; Rummeny, EJ; Link, TM; Bauer, JS
Title:
Automated 3D trabecular bone structure analysis of the proximal femur--prediction of biomechanical strength by CT and DXA.
Abstract:
The standard diagnostic technique for assessing osteoporosis is dual X-ray absorptiometry (DXA) measuring bone mass parameters. In this study, a combination of DXA and trabecular structure parameters (acquired by computed tomography [CT]) most accurately predicted the biomechanical strength of the proximal femur and allowed for a better prediction than DXA alone.An automated 3D segmentation algorithm was applied to determine specific structure parameters of the trabecular bone in CT images of th...     »
Journal title abbreviation:
Osteoporos Int
Year:
2010
Journal volume:
21
Journal issue:
9
Pages contribution:
1553-64
Language:
eng
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/19859642
Print-ISSN:
0937-941X
TUM Institution:
Röntgendiagnostik
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