Background: The present study contrasts the accuracy of different reconstructed\nmodels with distinctive segmentation methods performed by various experts. Seven\nresearch groups reconstructed nine 3D models of one human femur based on an\nacquired CT image using their own computational methods. As a reference model for\naccuracy assessment, a 3D surface scan of the human femur was created using an optical\nmeasuring system. Prior to comparison, the femur was divided into four areas; ââ?¬Å?neck\nand greater trochanterââ?¬Â, ââ?¬Å?proximal metaphysisââ?¬Â, ââ?¬Å?diaphysisââ?¬Â, and ââ?¬Å?distal metaphysisââ?¬Â. The\ndeviation analysis was carried out in GEOMAGIC studio v.2013 software.\nResults: The results revealed that the highest deviation errors occurred in ââ?¬Å?neck and\ngreater trochanterââ?¬Â area and ââ?¬Å?proximal metaphysisââ?¬Â area with RMSE of 0.84 and 0.83 mm\nrespectively.\nConclusion: In conclusion, this study shows that the average deviation of reconstructed\nmodels prepared by experts with various methods, skills and software from\nthe surface 3D scan is lower than 0.79 mm, which is not a significant discrepancy
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