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Surface and curve skeleton from a structure tensor analysis applied on mastoid air cells in human temporal bones
Linköpings universitet, Institutionen för medicinsk teknik, Avdelningen för medicinsk teknik. Linköpings universitet, Tekniska fakulteten. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV. Department of Otolaryngology, Head & Neck Surgery, Aalborg University Hospital, Denmark.
Department of Otolaryngology, Head & Neck Surgery, Aalborg University Hospital, Denmark; Department of Clinical Medicine, Aalborg University, Denmark.
Linköpings universitet, Institutionen för medicinsk teknik, Avdelningen för medicinsk teknik. Linköpings universitet, Tekniska fakulteten. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV. Linköpings universitet, Institutionen för datavetenskap, Statistik och maskininlärning. Linköpings universitet, Filosofiska fakulteten.
Linköpings universitet, Institutionen för medicinsk teknik, Avdelningen för medicinsk teknik. Linköpings universitet, Tekniska fakulteten. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV.ORCID-id: 0000-0002-9091-4724
2017 (engelsk)Inngår i: IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 2017, Institute of Electrical and Electronics Engineers (IEEE), 2017, s. 270-274Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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.

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers (IEEE), 2017. s. 270-274
Serie
International Symposium on Biomedical Imaging. Proceedings, ISSN 1945-8452
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Identifikatorer
URN: urn:nbn:se:liu:diva-138634DOI: 10.1109/ISBI.2017.7950517ISI: 000414283200064ISBN: 978-1-5090-1172-8 (digital)ISBN: 978-1-5090-1173-5 (tryckt)OAI: oai:DiVA.org:liu-138634DiVA, id: diva2:1112421
Konferanse
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), Melbourne, Australia, 18-21 April 2017
Merknad

Funding agencies: Obel Family Foundation

Tilgjengelig fra: 2017-06-20 Laget: 2017-06-20 Sist oppdatert: 2017-12-15bibliografisk kontrollert

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