
Proceedings Paper
Connection method of separated luminal regions of intestine from CT volumesFormat | Member Price | Non-Member Price |
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Paper Abstract
This paper proposes a connection method of separated luminal regions of the intestine for Crohn's disease diagnosis. Crohn's disease is an inflammatory disease of the digestive tract. Capsule or conventional endoscopic diagnosis is performed for Crohn's disease diagnosis. However, parts of the intestines may not be observed in the endoscopic diagnosis if intestinal stenosis occurs. Endoscopes cannot pass through the stenosed parts. CT image-based diagnosis is developed as an alternative choice of the Crohn's disease. CT image-based diagnosis enables physicians to observe the entire intestines even if stenosed parts exist. CAD systems for Crohn's disease using CT volumes are recently developed. Such CAD systems need to reconstruct separated luminal regions of the intestines to analyze intestines. We propose a connection method of separated luminal regions of the intestines segmented from CT volumes. The luminal regions of the intestines are segmented from a CT volume. The centerlines of the luminal regions are calculated by using a thinning process. We enumerate all the possible sequences of the centerline segments. In this work, we newly introduce a condition using distance between connected ends points of the centerline segments. This condition eliminates unnatural connections of the centerline segments. Also, this condition reduces processing time. After generating a sequence list of the centerline segments, the correct sequence is obtained by using an evaluation function. We connect the luminal regions based on the correct sequence. Our experiments using four CT volumes showed that our method connected 6.5 out of 8.0 centerline segments per case. Processing times of the proposed method were reduced from the previous method.
Paper Details
Date Published: 20 March 2015
PDF: 7 pages
Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94140P (20 March 2015); doi: 10.1117/12.2081977
Published in SPIE Proceedings Vol. 9414:
Medical Imaging 2015: Computer-Aided Diagnosis
Lubomir M. Hadjiiski; Georgia D. Tourassi, Editor(s)
PDF: 7 pages
Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94140P (20 March 2015); doi: 10.1117/12.2081977
Show Author Affiliations
Masahiro Oda, Nagoya Univ. (Japan)
Takayuki Kitasaka, Aichi Institute of Technology (Japan)
Kazuhiro Furukawa M.D., Nagoya Univ. (Japan)
Osamu Watanabe M.D., Nagoya Univ. (Japan)
Takayuki Kitasaka, Aichi Institute of Technology (Japan)
Kazuhiro Furukawa M.D., Nagoya Univ. (Japan)
Osamu Watanabe M.D., Nagoya Univ. (Japan)
Takafumi Ando M.D., Nagoya Univ. (Japan)
Yoshiki Hirooka M.D., Nagoya Univ. Hospital (Japan)
Hidemi Goto M.D., Nagoya Univ. (Japan)
Kensaku Mori, Nagoya Univ. (Japan)
Yoshiki Hirooka M.D., Nagoya Univ. Hospital (Japan)
Hidemi Goto M.D., Nagoya Univ. (Japan)
Kensaku Mori, Nagoya Univ. (Japan)
Published in SPIE Proceedings Vol. 9414:
Medical Imaging 2015: Computer-Aided Diagnosis
Lubomir M. Hadjiiski; Georgia D. Tourassi, Editor(s)
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