Abstract
Background: The present study contrasts the accuracy of different reconstructed models with distinctive segmentation methods performed by various experts. Seven research groups reconstructed nine 3D models of one human femur based on an acquired CT image using their own computational methods. As a reference model for accuracy assessment, a 3D surface scan of the human femur was created using an optical measuring system. Prior to comparison, the femur was divided into four areas; "neck and greater trochanter", "proximal metaphysis", "diaphysis", and "distal metaphysis". The deviation analysis was carried out in GEOMAGIC studio v.2013 software. Results: The results revealed that the highest deviation errors occurred in "neck and greater trochanter" area and "proximal metaphysis" area with RMSE of 0.84 and 0.83mm respectively. Conclusion: In conclusion, this study shows that the average deviation of reconstructed models prepared by experts with various methods, skills and software from the surface 3D scan is lower than 0.79 mm, which is not a significant discrepancy.
Original language | English |
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Article number | 29 |
Journal | BioMedical Engineering Online |
Volume | 17 |
Issue number | 1 |
DOIs | |
Publication status | Published - 02 Mar 2018 |
Externally published | Yes |
Keywords
- Accuracy assessment
- Bone segmentation
- Deviation analysis
- Image-based model
- Medical imaging
- Round robin test
- Shape reconstruction
ASJC Scopus subject areas
- Radiological and Ultrasound Technology
- Biomaterials
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging