Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/94933
Author(s): | Francisco P. M. Oliveira Diogo Borges Faria João Manuel R. S. Tavares |
Title: | Automated segmentation of the incus and malleus ossicles in conventional tri-dimensional computed tomography images |
Issue Date: | 2014 |
Abstract: | This paper proposes a fully automated computational solution to segment the incus and malleus ear ossicles in conventional tri-dimensional (3D) X-ray computed tomography (CT) images. The solution uses a registration-based segmentation paradigm, followed by image segmentation refinement. It was tested against a dataset comprising 21 CT volumetric images of the ear acquired using standard protocols and with resolutions varying from 0.162×0.162×0.6 to 0.166×0.166×1.0 mm3. The images used were randomly selected from subjects that had had a CT exam of the ear due to ear related pathologies. Dice's coefficient and the Hausdorff distance were used to compare the results of the automated segmentation against those of a manual segmentation performed by two experts. The mean agreement between automated and manual segmentations was equal to 0.956 (Dice's coefficient), and the mean Hausdorff distance among the shapes obtained was 1.14 mm, which is approximately equal to the maximum distance between neighbouring voxels in the dataset tested. The results confirm that the automated segmentation of the incus and malleus ossicles in 3D images acquired from patients with ear related pathologies, using conventional CT scanners and standard protocols, is feasible, robust and accurate. Thus, the solution developed can be employed efficiently in CT ear exams to help radiologists and otolaryngologists in the evaluation of bi-dimensional (2D) slices by providing the related 3D model. |
Subject: | Ciências Tecnológicas, Ciências da engenharia e tecnologias Technological sciences, Engineering and technology |
Scientific areas: | Ciências da engenharia e tecnologias Engineering and technology |
URI: | https://repositorio-aberto.up.pt/handle/10216/94933 |
Document Type: | Artigo em Revista Científica Internacional |
Rights: | restrictedAccess |
Appears in Collections: | FEUP - Artigo em Revista Científica Internacional |
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File | Description | Size | Format | |
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92593.pdf Restricted Access | Paper | 435.76 kB | Adobe PDF | Request a copy from the Author(s) |
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