Baakman, Laura (2018) Computer-Assisted Virtual Acetabular Fracture Reconstruction. Master's Thesis / Essay, Computing Science.
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Abstract
A new method to reduce acetabular fractures has been pioneered at the University Medical Center Groningen (UMCG). It requires manual virtual reduction of the fracture, which is time-consuming and difficult. We use Iterative closest point (ICP) for the computer-assisted reduction of ac- etabular fractures, together with our newly introduced error metric which punishes intersections between fragments. To allow the incorporation of the intersection term of this error metric, this research also proposes the use of iterative gradient descent (IGD) to find the transformation at each iteration of the ICP algorithm. The performance of the proposed method is compared with that of existing variants of the ICP algorithm on the clinical models of eight patients treated at the UMCG. We have found no improvement in performance due to the inclusion of an intersection term in the error metric. However, the results of the other implemented and tested registration methods suggest that factors other than the used error metric may have been at fault. Therefore, we conclude that further research into this error metric and its minimization is needed.
Item Type: | Thesis (Master's Thesis / Essay) |
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Supervisor name: | Kosinka, J. and Witjes, M.J.H. and Ooijen, P.M.A. van |
Degree programme: | Computing Science |
Thesis type: | Master's Thesis / Essay |
Language: | English |
Date Deposited: | 23 Aug 2018 |
Last Modified: | 07 Sep 2018 14:50 |
URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/18367 |
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