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dc.contributor.authorGee, Andrewen
dc.contributor.authorZhao, Yufengen
dc.contributor.authorTreece, Grahamen
dc.contributor.authorBance, Manoharen
dc.date.accessioned2020-07-30T08:54:46Z
dc.date.available2020-07-30T08:54:46Z
dc.date.issued2020-07-27en
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/308590
dc.description.abstractThere 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 pre-operative computed tomography (CT) images, would allow the clinician to personalize the choice of electrode, surgical approach and post-operative 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 (SSM) or a locally affine deformation (LAD). After fitting, we measure cochlear length, mean lumen area and a novel measure of basal turn non-planarity, which is expected to 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 results show that the LAD method outperforms the SSM method, with an expected error of around 11% of the gold-standard sample range for non-planarity and cochlear length. Results for lumen area are significantly worse, reflecting the difficulty of detecting the cochlear inner wall in clinical CT.en
dc.subjectcochlear implantationen
dc.subjectpre-operative CTen
dc.subjectmodel-based segmentationen
dc.subjectcochlear size and shapeen
dc.titlePracticable Assessment of Cochlear Size and Shape from Clinical CT Imagesen
dc.typeReport
prism.numberENG TR.004en
prism.publicationDate2020en
dc.identifier.doi10.17863/CAM.55677
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2020-07-27en
dc.contributor.orcidTreece, Graham [0000-0003-0047-6845]
dc.identifier.eissn2633-6839en
rioxxterms.typeTechnical Reporten


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