Surface and curve skeleton from a structure tensor analysis applied on mastoid air cells in human temporal bones
2017 (English)In: IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 2017, Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 270-274Conference paper, Published paper (Refereed)
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.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 270-274
Series
International Symposium on Biomedical Imaging. Proceedings, ISSN 1945-8452
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-138634DOI: 10.1109/ISBI.2017.7950517ISI: 000414283200064ISBN: 978-1-5090-1172-8 (electronic)ISBN: 978-1-5090-1173-5 (print)OAI: oai:DiVA.org:liu-138634DiVA, id: diva2:1112421
Conference
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), Melbourne, Australia, 18-21 April 2017
Note
Funding agencies: Obel Family Foundation
2017-06-202017-06-202017-12-15Bibliographically approved