Fractal dimension of trabecular bone: comparison of three histomorphometric computed techniques for measuring the architectural two-dimensional complexity
D. Chappard et al., Fractal dimension of trabecular bone: comparison of three histomorphometric computed techniques for measuring the architectural two-dimensional complexity, J PATHOLOGY, 195(4), 2001, pp. 515-521
Citations number
34
Categorie Soggetti
Research/Laboratory Medicine & Medical Tecnology","Medical Research Diagnosis & Treatment
Trabecular bone has been reported as having two-dimensional (2-D) fractal c
haracteristics at the histological level, a finding correlated with biomech
anical properties. However, several fractal dimensions (D) are known and co
mputational ways to obtain them vary considerably. This study compared thre
e algorithms on the same series of bone biopsies, to obtain the Kolmogorov,
Minkowski-Bouligand, and mass-radius fractal dimensions. The relationships
with histomorphometric descriptors of the 2-D trabecular architecture were
investigated. Bone biopsies were obtained from 148 osteoporotic male patie
nts. Bone volume (BV/TV), trabecular characteristics (Tb.N, Tb.Sp, Tb.Th),
strut analysis, star volumes (marrow spaces and trabeculae), interconnectiv
ity index, and Euler-Poincare number were computed. The box-counting method
was used to obtain the Kolmogorov dimension (D-k), the dilatation method f
or the Minkowski-Bouligand dimension (D-MB), and the sandbox for the mass-r
adius dimension (D-MR) and lacunarity (L). Logarithmic relationships were o
bserved between BV/TV and the fractal dimensions. The best correlation was
obtained with D-MR and the lowest with D-MB. Lacunarity was correlated with
descriptors of the marrow cavities (ICI, star volume, Tb.Sp). Linear relat
ionships were observed among the three fractal techniques which appeared hi
ghly correlated. A cluster analysis of all histomorphometric parameters pro
vided a tree with three groups of descriptors: for trabeculae (Tb.Th, strut
); for marrow cavities (Euler, ICI, Tb.Sp, star volume, L); and for the com
plexity of the network (Tb.N and the three D's). A sole fractal dimension c
annot be used instead of the classic 2-D descriptors of architecture; D rat
her reflects the complexity of branching trabeculae. Computation time is al
so, an important determinant when choosing one of these methods. Copyright
(C). 2001 John Wiley & Sons, Ltd.