Abstract
Despite the current advances in micro-CT analysis, the influence of some image acquisition parameters on the morphometric assessment outcome have not been fully elucidated. The aim of this study was to determine whether data binning and frame averaging affect the morphometric outcome of bone repair assessment using micro-CT. Four Wistar rats’ tibiae with a surgically created bone defect were imaged with micro-CT six times each, frame averaging set to 1 and 2, and data binning set to 1, 2 and 4, for each of the averaging values. Two-way ANOVA followed by Bonferroni tests assessed the significance of frame averaging and data binning on a set of morphometric parameters assessed in the image volumes (p < 0.01). The effect of frame averaging was not significant for any of the assessed parameters. Increased data binning led to larger trabecular thickness. In contrast, smaller bone volume fraction and bone volume were found as data binning increased. Trabeculae number and trabecular separation were not influenced by any of the parameters. In conclusion, the morphometric outcome of bone repair assessment in micro-CT demonstrated dependency upon data binning, but not frame averaging. Therefore, image acquisition of small anatomical structures (e.g., rat trabeculae) should be performed without data binning.
Highlights
Despite the current advances in micro-CT analysis, the influence of some image acquisition parameters on the morphometric assessment outcome have not been fully elucidated
Two-way ANOVA showed no significant effect of frame averaging (p = 0.63) and data binning (p = 0.78)
Two-way ANOVA showed a significant effect of data binning (p = 0.01) no significant effect was observed for frame averaging (p = 0.91) and for the interaction between these parameters (p = 0.95)
Summary
Despite the current advances in micro-CT analysis, the influence of some image acquisition parameters on the morphometric assessment outcome have not been fully elucidated. The aim of this study was to determine whether data binning and frame averaging affect the morphometric outcome of bone repair assessment using micro-CT. The morphometric outcome of bone repair assessment in micro-CT demonstrated dependency upon data binning, but not frame averaging. Multiple images can be acquired at each rotation step (i.e., the same projection angle is re-visited multiple times), that will be averaged to compose the final sinogram originating the image projection. This is defined as frame averaging, and it stated to improve the signal-to-noise ration of micro-CT v olumes[8]. Some image quality parameters can be improved by increasing frame averaging, at the cost of longer scan time[8,13,17]
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