Practicable assessment of cochlear size and shape from clinical CT images
Abstract There is considerable interpersonal variation in the size and shape of the human cochlea, with evident consequences for cochlear implantation. The ability to characterize a specific cochlea, from preoperative computed tomography (CT) images, would allow the clinician to personalize the choi...
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2021-02-01
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Online Access: | https://doi.org/10.1038/s41598-021-83059-6 |
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doaj-950cf7577b4448ccb6e626d7f3aa60cc2021-02-14T12:32:37ZengNature Publishing GroupScientific Reports2045-23222021-02-0111111110.1038/s41598-021-83059-6Practicable assessment of cochlear size and shape from clinical CT imagesAndrew H. Gee0Yufeng Zhao1Graham M. Treece2Manohar L. Bance3Department of Engineering, University of CambridgeDepartment of Engineering, University of CambridgeDepartment of Engineering, University of CambridgeDepartment of Clinical Neurosciences, University of CambridgeAbstract There is considerable interpersonal variation in the size and shape of the human cochlea, with evident consequences for cochlear implantation. The ability to characterize a specific cochlea, from preoperative computed tomography (CT) images, would allow the clinician to personalize the choice of electrode, surgical approach and postoperative programming. In this study, we present a fast, practicable and freely available method for estimating cochlear size and shape from clinical CT. The approach taken is to fit a template surface to the CT data, using either a statistical shape model or a locally affine deformation (LAD). After fitting, we measure cochlear size, duct length and a novel measure of basal turn non-planarity, which we suggest might correlate with the risk of insertion trauma. Gold-standard measurements from a convenience sample of 18 micro-CT scans are compared with the same quantities estimated from low-resolution, noisy, pseudo-clinical data synthesized from the same micro-CT scans. The best results were obtained using the LAD method, with an expected error of 8–17% of the gold-standard sample range for non-planarity, cochlear size and duct length.https://doi.org/10.1038/s41598-021-83059-6 |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Andrew H. Gee Yufeng Zhao Graham M. Treece Manohar L. Bance |
spellingShingle |
Andrew H. Gee Yufeng Zhao Graham M. Treece Manohar L. Bance Practicable assessment of cochlear size and shape from clinical CT images Scientific Reports |
author_facet |
Andrew H. Gee Yufeng Zhao Graham M. Treece Manohar L. Bance |
author_sort |
Andrew H. Gee |
title |
Practicable assessment of cochlear size and shape from clinical CT images |
title_short |
Practicable assessment of cochlear size and shape from clinical CT images |
title_full |
Practicable assessment of cochlear size and shape from clinical CT images |
title_fullStr |
Practicable assessment of cochlear size and shape from clinical CT images |
title_full_unstemmed |
Practicable assessment of cochlear size and shape from clinical CT images |
title_sort |
practicable assessment of cochlear size and shape from clinical ct images |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2021-02-01 |
description |
Abstract There is considerable interpersonal variation in the size and shape of the human cochlea, with evident consequences for cochlear implantation. The ability to characterize a specific cochlea, from preoperative computed tomography (CT) images, would allow the clinician to personalize the choice of electrode, surgical approach and postoperative programming. In this study, we present a fast, practicable and freely available method for estimating cochlear size and shape from clinical CT. The approach taken is to fit a template surface to the CT data, using either a statistical shape model or a locally affine deformation (LAD). After fitting, we measure cochlear size, duct length and a novel measure of basal turn non-planarity, which we suggest might correlate with the risk of insertion trauma. Gold-standard measurements from a convenience sample of 18 micro-CT scans are compared with the same quantities estimated from low-resolution, noisy, pseudo-clinical data synthesized from the same micro-CT scans. The best results were obtained using the LAD method, with an expected error of 8–17% of the gold-standard sample range for non-planarity, cochlear size and duct length. |
url |
https://doi.org/10.1038/s41598-021-83059-6 |
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