Osteoporosis is a frequent skeletal disease characterised both by loss
of bone mineral mass and deterioration of cancellous bone
micro-architecture. It can be caused by mechanical disuse, estrogen
deficiency or natural age-related resorption process. Numerical analysis
of high-resolution images of the trabecular network is recognised as a
powerful tool for assessment of structural characteristics. Using mu CT
images of 73 thoracic and 78 lumbar human vertebral specimens in vitro
with isotropic resolution of 26 mu m we simulate bone atrophy as random
resorption of bone surface voxels. Global morphological and topological
characteristics provided by four Minkowski Functionals (MF) are
calculated for two numerical resorption models with and without
conservation of global topological connectivity of the trabecular
network, which simulates different types of bone loss in osteoporosis,
as it has been described in males and females. Diagnostic performance of
morphological and topological characteristics as a function of relative
bone loss is evaluated by a correlation analysis with respect to
experimentally measured Maximum Compressive Strength (MCS). In both
resorption models the second MF, which coincides with bone surface
fraction BS/TV, demonstrates almost constant value of Pearson's
correlation coefficient with respect to the relative bone loss Delta
BV/TV. This morphological characteristic does not vary considerably
under age-related random resorption and can be used for predicting bone
strength in the elderly. The third and fourth MF demonstrate an
increasing correlation coefficients with MCS after applying random bone
surface thinning without preserving topological connectivity, what can
be used for improvement of evaluation of the current state of the
structure.
«
Osteoporosis is a frequent skeletal disease characterised both by loss
of bone mineral mass and deterioration of cancellous bone
micro-architecture. It can be caused by mechanical disuse, estrogen
deficiency or natural age-related resorption process. Numerical analysis
of high-resolution images of the trabecular network is recognised as a
powerful tool for assessment of structural characteristics. Using mu CT
images of 73 thoracic and 78 lumbar human vertebral specimens in vitro
with isotropic r...
»