![]() 3) The overall shape model was utilized to evaluate the predictive value (leave one out cross validation) for gender and side identification within the study population. For each cut plane, the following morphometric parameters were calculated and compared: maximum width and depth, perimeter and area. Cut planes were generated for the mean shape models and each individual radius. 2) Anatomical landmarks were assigned and used to define three standardized cross-sectional cut planes perpendicular to the main axis. Statistical 3D shape models were computed (overall, gender and side separate) and the 3D shape variation assessed by evaluating the number of modes. 1) The data sets were segmented and 3D surface models generated. The local radiographic database was screened for CT-scans of intact radii. ![]() The aims were to 1) generate 3D shape models of the distal radius and investigate variations in the 3D shape, 2) generate and assess morphometrics in standardized cut planes, and 3) test the model’s classification accuracy. Current studies are limited to two-dimensional analysis and biased by varying measurement locations. Various medical fields rely on detailed anatomical knowledge of the distal radius.
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