2018
DOI: 10.1590/0103-6440201801385
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Segmentation Methods for Micro CT Images: A Comparative Study Using Human Bone Samples

Abstract: X-ray microtomography (microCT) is a nondestructive technique used to assess bone morphometry. For an accurate analysis, it is necessary to segment the bone tissue from the background images, avoiding under- or overestimation of the real bone volume. Thus, segmentation methods for microCT can influence the accuracy of bone morphometry analysis. The purpose of this study was to compare two different image segmentation methods available on microCT software (subjective and objective) regarding to the human bone m… Show more

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Cited by 10 publications
(13 citation statements)
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“…The additional surface distance analysis between the pre-and post-simmering micro-CT showed an average surface difference of − 0.043 +/− 0.124 mm (mean +/− SD) indicating a minor shrinkage of the bones after simmering (Table 3, Figure 11). However the measured shrinkage was less than the 0.5 mm boiling shrinkage reported in literature 19 and less then the 0.05 mm micro-CT resolution. Therefore, we expect that the simmering had minimal to no influence on the differences between the sCT and CT saw guides placement error, especially since the same bones were used for both modalities.…”
Section: Appendixcontrasting
confidence: 61%
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“…The additional surface distance analysis between the pre-and post-simmering micro-CT showed an average surface difference of − 0.043 +/− 0.124 mm (mean +/− SD) indicating a minor shrinkage of the bones after simmering (Table 3, Figure 11). However the measured shrinkage was less than the 0.5 mm boiling shrinkage reported in literature 19 and less then the 0.05 mm micro-CT resolution. Therefore, we expect that the simmering had minimal to no influence on the differences between the sCT and CT saw guides placement error, especially since the same bones were used for both modalities.…”
Section: Appendixcontrasting
confidence: 61%
“…A 3D-bone model comparison was performed on semiautomatic bone segmentations of the sCT-, CT-and micro-CT scans generated in Mimics (v21, Materialize NV, Leuven, Belgium). sCT-and CT-segmentations were created based on the thresholding method from Van den Broeck et al [17] and the micro-CT with Otsu's [18] automatic thresholding based on Rovaris et al [19] (Fig. 3).…”
Section: D Bone Model Generation and Comparisonmentioning
confidence: 99%
“…36 The differences observed in the current study highlight the influence of the post-processing algorithms on the analysis of dental materials by micro-CT. 37 Thresholding can be performed by simple global methods or by adaptive methods using CTAn software. 9 Our study used the adaptive method because it applies local threshold values instead of a single global method. As a result, segmentation could be improved by determining the optimal threshold value of each voxel within its neighborhood.…”
Section: Discussionmentioning
confidence: 99%
“…21 In this method, the examiner segments the images visually, and records the threshold values for each sample. 9 The MeVisLab (MeVis Research, Bremen, Germany) protocol uses a semi-interactive livewire boundary extraction, 10 in which the user moves the mouse from a manually selected point, and a livewire boundary selects and wraps around the object of interest. New points are then selected, until the boundary has been delimited and the area has been segmented.…”
Section: Image Segmentation and Volume Calculationmentioning
confidence: 99%
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