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Investigation of extracting interlobular septa with Hessian analysis and radial structure tensor combined with roundness error in micro-CT volume
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Paper Abstract

Micro-CT is a nondestructive scanning device that is capable of capturing three dimensional structures at _m level. With the spread of this device uses in medical fields, it is expected that this device may bring further understanding of the human anatomy by analyzing three-dimensional micro structure from volume of in vivo specimens captured by micro-CT. In the topic of micro structure analysis of lung, the methods for extracting surface structures including the interlobular septa and the visceral pleura were not commonly studied. In this paper, we introduce a method to extract sheet structure such as the interlobular septa and the visceral pleura from micro-CT volumes. The proposed method consists of two steps: Hessian analysis based method for sheet structure extraction and Radial Structure Tensor combined with roundness evaluation for hollow-tube structure extraction. We adopted the proposed method on complex phantom data and a medical lung micro-CT volume. We confirmed the extraction of the interlobular septa from medical volume from experiments.

Paper Details

Date Published: 27 March 2019
PDF: 6 pages
Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019, 110501E (27 March 2019); doi: 10.1117/12.2521646
Show Author Affiliations
Xiaotian Zhao, Nagoya Univ. (Japan)
Hirohisa Oda, Nagoya Univ. (Japan)
Shota Nakamura, Nagoya Univ. (Japan)
Yuichiro Hayashi, Nagoya Univ. (Japan)
Hayato Itoh, Nagoya Univ. (Japan)
Masahiro Oda, Nagoya Univ. (Japan)
Kensaku Mori, Nagoya Univ. (Japan)
National Institute of Informatics (Japan)


Published in SPIE Proceedings Vol. 11050:
International Forum on Medical Imaging in Asia 2019
Feng Lin; Hiroshi Fujita; Jong Hyo Kim, Editor(s)

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