Abstract
The mastoid of human temporal bone contains numerous air cells connected to each others. In order to gain further knowledge about these air cells, a more compact representation is needed to obtain an estimate of the size distribution of these cells. Already existing skeletonization methods often fail in producing a faithful skeleton mostly due to noise hampering the binary representation of the data. This paper proposes a different approach by extracting geometrical information embedded in the Euclidean distance transform of a volume via a structure tensor analysis based on quadrature filters, from which a secondary structure tensor allows the extraction of surface skeleton along with a curve skeleton from its eigenvalues. Preliminary results obtained on a X-ray micro-CT scans of a human temporal bone show very promising results.
Originalsprog | Engelsk |
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Titel | 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017 |
Antal sider | 5 |
Forlag | IEEE Computer Society Press |
Publikationsdato | 2017 |
Sider | 270-274 |
Artikelnummer | 7950517 |
ISBN (Elektronisk) | 9781509011711 |
DOI | |
Status | Udgivet - 2017 |
Udgivet eksternt | Ja |
Begivenhed | 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 - Melbourne, Australien Varighed: 18 apr. 2017 → 21 apr. 2017 |
Konference
Konference | 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 |
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Land/Område | Australien |
By | Melbourne |
Periode | 18/04/2017 → 21/04/2017 |