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When comparing in silico and in vivo data sets after a period of four weeks, a maximum prediction error of 2.4% in bone volume fraction and 5.4% in other bone morphometric indices was calculated.
Quantification of trabecular and cortical bone morphometric indices was performed in the regions of metaphysis and diaphysis in the proximal tibias, respectively.
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Spatial variation of morphometric indices were assessed across catchment (trunk rivers) and subcatchment scales.
Geomorphometry may be a powerful tool to describe the characteristics of the landscape's response to tectonic signals, but the meaning of morphometric indices is often obscured by the interplay between the many variables controlling the geomorphological evolution.
On the original three-dimensional images, morphometric indices were directly determined from the binarized volume of interest (VOI) [ 26].
Morphometric indices were determined from the microtomographic datasets (integrated over a volume of interest, VOI) using direct 3D morphometry.
Morphometric indices were determined from the microtomographic data sets (integrated over a VOI) using direct 3D morphometry.
The morphometric indexes were used in 18.2% of studies, mostly in fish species.
The following morphometric indexes were calculated by mean value of 5 consecutive cross sections of each identified lesion at the site of its maximal extent: maximal intimal thickness (IT), maximal intimal to media thickness ratio (IMT ratio), cross-sectional lesion area (LA), and lesion to intact wall area ratio (LA ratio).
While morphometric indices can be a useful procedure in the evaluation of landscape evolution, this study shows that care must be taken in the application of morphometric indices to constrain tectonic or climatic variation in ancient landscapes because of inherited tectonic structures and signal shredding.
Based on the morphometric measurements, differences in morphometric locomotor predictor indices were computed.
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