An automatic algorithm for hard tissue segmentation in CBCT data is presented and validated on 30 subjects. Bone segmentation threshold was set after voxel clustering through a sub-set of slices and the elimination of outliers with teeth and metal artifacts. Comparison with manual thresholding by experts gave no significant differences
VALIDATION OF AN AUTOMATIC HARD TISSUE SEGMENTATION ALGORITHM FOR CONE BEAM CT DATA / M. Codari, M. Caffini, L. Rizzo, G. Rocco, G.M. Tartaglia, G. Baselli, C. Sforza. ((Intervento presentato al convegno 37th IEEE Annual conference on Engineering in Medicine and Biology tenutosi a Milano, Italia nel 2015.
VALIDATION OF AN AUTOMATIC HARD TISSUE SEGMENTATION ALGORITHM FOR CONE BEAM CT DATA
M. CodariPrimo
;G.M. Tartaglia;C. SforzaUltimo
2015
Abstract
An automatic algorithm for hard tissue segmentation in CBCT data is presented and validated on 30 subjects. Bone segmentation threshold was set after voxel clustering through a sub-set of slices and the elimination of outliers with teeth and metal artifacts. Comparison with manual thresholding by experts gave no significant differencesFile | Dimensione | Formato | |
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