Print Email Facebook Twitter Integrating statistical shape modelling into a silhouette-based 3D reconstruction process to model a transradial defect Title Integrating statistical shape modelling into a silhouette-based 3D reconstruction process to model a transradial defect Author Goes, Steven (TU Delft Mechanical, Maritime and Materials Engineering) Contributor Plettenburg, D.H. (mentor) Cuellar Lopez, J.S. (mentor) Smit, G. (mentor) Huysmans, T. (mentor) Degree granting institution Delft University of Technology Project Access to prosthetics thanks to 3D printing and a smartphone app Date 2018-12-14 Abstract Background: In low- and middle-income countries there is a high demand for prosthetic devices. An automatic system, in which hand prostheses are manufactured with 3D printers can potentially offer a solution for patients having a transradial defect in these areas. As part of such a system, a detailed 3D model of the residual limbs is needed. In order to make the process of creating this 3D model more accessible to low- and middle-income countries, a new silhouette-based 3D reconstruction process is observed which can be implemented in a smartphone application.Objective:Measure the accuracy of the observed method.Methods: A database of artificial residual limbs and an experimental algorithm is created. This algorithm consists of two parts. The first part simulates the process of capturing pictures of a residual limb with a smartphone camera. The second part performs an automatic silhouette-based 3D reconstruction.Results: When the reconstruction method is performed on a known residual limb shape with three silhouette images, the highest measured 3D reconstruction accuracy is 1.12 ± 0.57 mm. When the method is performed on an unknown residual limb shape with three silhouette images, the highest accuracy is 6.48 ± 2.15 mm.Conclusion:This work presents a technique for reconstructing a residual limb by means of silhouette images. The observed method can be considered as a promising 3D reconstruction approach for prosthetic designing. The method could be improved by having access to a larger database of residual limb shapes and by analysing and finding the optimal input arguments for the optimiser.Clinical Relevance:The observed method provides a low-cost and accessible approach to model a residual limb for the design of a fitting prosthetic socket that can be manufactured by a 3D printer. Subject 3D scanning3D printingSSMStatistical Shape Modeltransradial defectSSIC To reference this document use: http://resolver.tudelft.nl/uuid:f0571d45-e630-4411-9702-ec7371551f41 Embargo date 2021-12-05 Part of collection Student theses Document type master thesis Rights © 2018 Steven Goes Files PDF Thesis_Report_TU_Steven_Goes.pdf 4.91 MB Close viewer /islandora/object/uuid:f0571d45-e630-4411-9702-ec7371551f41/datastream/OBJ/view