18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) 2005
DOI: 10.1109/cbms.2005.73
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Medical imaging and osteoporosis: fractal's lacunarity analysis of trabecular bone in MR images

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Cited by 18 publications
(49 citation statements)
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“…Note that in Zaia et al [57,58] this method has been presented for binary images arising from a pre processing step of image I by using image J program. The simple extension considered [58,59] can be used also for grayscale images. The efficiency of such an extension is usually improved by a different pre processing step through a sigmoid function ( Figure 2).…”
Section: Trabecular Bone Architecturementioning
confidence: 99%
See 3 more Smart Citations
“…Note that in Zaia et al [57,58] this method has been presented for binary images arising from a pre processing step of image I by using image J program. The simple extension considered [58,59] can be used also for grayscale images. The efficiency of such an extension is usually improved by a different pre processing step through a sigmoid function ( Figure 2).…”
Section: Trabecular Bone Architecturementioning
confidence: 99%
“…In fact, hyperbola formula contains three coefficients (α , β, γ) that represent our suitable numerical indices, where α correlate with the fractal dimension, and β, related to the concavity, characterizes the lacunarity. The result is a triplet of parameters (α* β * γ *) that univocally characterizes any single TBA analyzed [57,58] . Application of the method to several TBA from 25 female subjects with different age and physiopathologic status (4 young, 5 premenopause, 6 postmenopause, 10 osteoporotic with an agerange of 3137, 4252, 5181, and 5975 respectively) has highlighted that, among the three coefficients, parameter β is particularly sensitive to both age and physiopathologic changes.…”
Section: Bone Structurementioning
confidence: 99%
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“…The fractal dimension gives a number for how a structure fills up the space, being an indicator of the boundary irregularity and roughness [30]. The lacunarity values indicate the degree of gap distribution over a certain surface [25,31].…”
Section: Introductionmentioning
confidence: 99%