Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Investigating the automation of the 3D computational model development workflow of the cochlear implant

Dissertation (MEng (Bioengineering))--University of Pretoria, 2019.

Saved in:
Bibliographic Details
Other Authors: Hanekom, Tania
Format: Thesis
Language:English
Published: University of Pretoria 2019
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867613520728686592
access_status_str Open Access
author2 Hanekom, Tania
author_browse Hanekom, Tania
author_facet Hanekom, Tania
collection Thesis
dc_rights_str_mv © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MEng (Bioengineering))--University of Pretoria, 2019.
format Thesis
id oai:repository.up.ac.za:2263/68624
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:37:27.661Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2019
publishDateRange 2019
publishDateSort 2019
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/68624 Investigating the automation of the 3D computational model development workflow of the cochlear implant Hanekom, Tania u10236989@tuks.co.za Hanekom, J.J. (Johannes Jurgens) Crous, Heinrich Simulation Cochlear implant Computational modelling 3D model Automation UCTD Dissertation (MEng (Bioengineering))--University of Pretoria, 2019. The workflow of the development of three-dimensional (3D) computational models for cochlear implants was investigated, with specific focus on applied automation techniques. No fully automated process was found in the literature that could perform the entire 3D model development from the first to the final stage, with the greatest lack of automation identified in the data interpretation and processing phase. It is proposed that the workflow of 3D model development can be automated to such an extent that an automated cochlear model generator can be developed. The aim of such a method is to reduce time spent on model development, and decrease the number of complicated manual procedures often involved in 3D model development whilst maintaining model accuracy. A knowledge-based landmark detection algorithm was used to develop a semi-automated cochlear model creation tool by using standard CT scan data. Six 3D electric volume conduction models were produced by applying the automated method. Electric potential distributions, as a result of intracochlear stimulation, were calculated and then used to predict neural activating function patterns. Predictions from models resulting from automated generation were compared to predictions from models that were created by a purely manual generation method. Automation of the model development workflow was achieved, although an initial manual calibration procedure was required for each model. For the development of 3D models, the use of multiple geometrical landmark points (GLP) greatly affected cochlear model morphology, potential distributions, and neural excitement as opposed to the use of a singular GLP. This work suggests that the semi-automated method developed and presented in this study is able to detect cochlear landmarks with an 84.28% similarity to the manual method. Higher intracochlear potentials were predicted with the automated method because of the reduced volume of the automatically generated models compared to that of manually created models. The higher potentials indicated a greater probability of neural excitation when compared to the manually created models, under similar stimulation conditions. Financial assistance provided by the National Research Foundation (NRF) in respect of the costs of this study is hereby acknowledged. Opinions or conclusions that have been expressed in this study are those of the writer and must not be seen to represent the views, opinions or conclusions of the NRF. Electrical, Electronic and Computer Engineering MEng (Bioengineering) Unrestricted 2019-03-08T12:09:44Z 2019-03-08T12:09:44Z 2019-04-10 2019 Dissertation Crous, HG 2019, INVESTIGATING THE AUTOMATION OF THE 3D COMPUTATIONAL MODEL DEVELOPMENT WORKFLOW OF THE COCHLEAR IMPLANT, Masters Dissertation, University of Pretoria, Pretoria http://hdl.handle.net/2263/68624 en © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle Simulation
Cochlear implant
Computational modelling
3D model
Automation
UCTD
Investigating the automation of the 3D computational model development workflow of the cochlear implant
title Investigating the automation of the 3D computational model development workflow of the cochlear implant
title_full Investigating the automation of the 3D computational model development workflow of the cochlear implant
title_fullStr Investigating the automation of the 3D computational model development workflow of the cochlear implant
title_full_unstemmed Investigating the automation of the 3D computational model development workflow of the cochlear implant
title_short Investigating the automation of the 3D computational model development workflow of the cochlear implant
title_sort investigating the automation of the 3d computational model development workflow of the cochlear implant
topic Simulation
Cochlear implant
Computational modelling
3D model
Automation
UCTD
url http://hdl.handle.net/2263/68624