University of Twente Student Theses
3d morphometric analysis of wrist bone anatomy
Sainath, Shreyas Vadhula (2025) 3d morphometric analysis of wrist bone anatomy.
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| Abstract: | The focus of the thesis is to extract and analyze the 3D wrist bone shape to derive requirements for the Total Wrist Replacement (TWR) implant. The major challenges in designing these implants have been to account for the wide range of variation in wrist bones across the population. Designing a patient-specific implant is time-consuming and a simple gender-based design is not sufficient. To achieve successful implant function and longevity, it is important to understand these variations and design implants that are tailored to them. To address the issue of patient-specific and simple sexbased implant design, this thesis performs hierarchical clustering to understand the natural grouping in the population that can help in designing a wide range of implants. This thesis uses the freely available Open-Source Carpal Database (OSCD). The features of the carpal bones, radius, ulna, and metacarpals were extracted using the Python scripting language and its libraries. The carpal surfaces were segmented using 2 approaches, vertex-normal and proximitybased, and Amberg's optimal step non-rigid iterative closest point (ANRICP) algorithm. The OSCD dataset was pre-processed to align with the anatomical coordinate system (ACS). The carpal bone parameters showed a significant sexual dimorphism using independent t-test or Mann-Whitney U test (p<0,05). Males were generally larger than females with respect to carpal bone parameters. The segmented articular surfaces were significantly different when obtained by the 2 methods using paired Student t-test (p<0,05). Although the length, width, and surface area of the males were greater than those of the females with respect to the articular surfaces, the curvature values for the females were greater than those of the males, which could be the result of bone size. When it comes to reaming parameters, it was observed that women had a higher radial inclination (mean difference 0.29), carpal ratio (mean difference 0.07) and the curvature of proximal-PCR articular surface (mean difference 0.06) than men. Clustering produced 15 groups when the features were selected based on their importance value. 14 groups were formed when only the PCR features and radial features were considered in the clustering based on ulnar variance (0-negative, 1-positive) and 11 groups were formed when the clustering was performed based on gender (0-female, 1-male). These results can be used to develop a series of designs for the implant. |
| Item Type: | Essay (Master) |
| Faculty: | TNW: Science and Technology |
| Programme: | Biomedical Engineering MSc (66226) |
| Link to this item: | https://purl.utwente.nl/essays/106199 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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