Surface and curve skeleton from a structure tensor analysis applied on mastoid air cells in human temporal bones

Olivier Cros; Michael Gaihede; Anders Eklund; Hans Knutsson

doi:10.1109/ISBI.2017.7950517

Surface and curve skeleton from a structure tensor analysis applied on mastoid air cells in human temporal bones

Olivier Cros, Michael Gaihede, Anders Eklund, Hans Knutsson

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
Number of pages	5
Publisher	IEEE Computer Society Press
Publication date	2017
Pages	270-274
Article number	7950517
ISBN (Electronic)	9781509011711
DOIs	https://doi.org/10.1109/ISBI.2017.7950517
Publication status	Published - 2017
Externally published	Yes
Event	14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 - Melbourne, Australia Duration: 18 Apr 2017 → 21 Apr 2017

Conference

Conference	14th IEEE International Symposium on Biomedical Imaging, ISBI 2017
Country/Territory	Australia
City	Melbourne
Period	18/04/2017 → 21/04/2017

Keywords

Curve skeleton
Euclidean distance
Human temporal bone
Local phase
Mastoid air cell system
Structure tensor
Surface skeleton
X-Ray micro-CT scans

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10.1109/ISBI.2017.7950517

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@inproceedings{e4d8ecf02afa431e854fce41748d75f8,

title = "Surface and curve skeleton from a structure tensor analysis applied on mastoid air cells in human temporal bones",

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.",

keywords = "Curve skeleton, Euclidean distance, Human temporal bone, Local phase, Mastoid air cell system, Structure tensor, Surface skeleton, X-Ray micro-CT scans",

author = "Olivier Cros and Michael Gaihede and Anders Eklund and Hans Knutsson",

year = "2017",

doi = "10.1109/ISBI.2017.7950517",

language = "English",

pages = "270--274",

booktitle = "2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017",

publisher = "IEEE Computer Society Press",

address = "United States",

note = "14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 ; Conference date: 18-04-2017 Through 21-04-2017",

}

Cros, O, Gaihede, M, Eklund, A & Knutsson, H 2017, Surface and curve skeleton from a structure tensor analysis applied on mastoid air cells in human temporal bones. in 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017., 7950517, IEEE Computer Society Press, pp. 270-274, 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, 18/04/2017. https://doi.org/10.1109/ISBI.2017.7950517

Surface and curve skeleton from a structure tensor analysis applied on mastoid air cells in human temporal bones. / Cros, Olivier; Gaihede, Michael; Eklund, Anders et al.
2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society Press, 2017. p. 270-274 7950517.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Surface and curve skeleton from a structure tensor analysis applied on mastoid air cells in human temporal bones

AU - Cros, Olivier

AU - Gaihede, Michael

AU - Eklund, Anders

AU - Knutsson, Hans

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Curve skeleton

KW - Euclidean distance

KW - Human temporal bone

KW - Local phase

KW - Mastoid air cell system

KW - Structure tensor

KW - Surface skeleton

KW - X-Ray micro-CT scans

U2 - 10.1109/ISBI.2017.7950517

DO - 10.1109/ISBI.2017.7950517

M3 - Article in proceeding

AN - SCOPUS:85023200784

SP - 270

EP - 274

BT - 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017

PB - IEEE Computer Society Press

T2 - 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017

Y2 - 18 April 2017 through 21 April 2017

ER -

Surface and curve skeleton from a structure tensor analysis applied on mastoid air cells in human temporal bones

Abstract

Conference

Keywords

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AUB Link

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