Paper Abstract and Keywords |
Presentation |
2023-03-07 17:55
A centerline-based post-processing for detecting intestinal obstructions in CT volumes Sirui Chen (Nagoya Univ.), Hirohisa oda (UoS), Qin An, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (AIT), Aitaro Takimoto, Akinari Hinoki, Nagoya Univ. (Nagoya Univ.), Kojiro Suzuki (AIC), Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2022-130 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper proposes an efficient post-processing method for intestinal obstruction detection in CT volumes. Intestinal obstruction is a disease that normal flow moving through the intestines is interrupted. Clinicians usually detect intestinal obstruction by manually tracking the intestines, which is difficult and time-consuming. Therefore, a computer-aided detection (CADe) system for intestinal obstruction is necessary to assist in diagnosis. Even though we can obtain the intestine structure from the segmentation result, it is still unclear to find intestinal obstruction based on the result. We extract the 3D centerlines from the predicted intestines regions from the intestine segmentation model. And then we find intestinal obstruction candidates on the refined centerlines, which are refined by the graph theroy. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Intestine Segmentation / Intestinal Obstruction / 3D Object Thinning / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 417, MI2022-130, pp. 223-228, March 2023. |
Paper # |
MI2022-130 |
Date of Issue |
2023-02-27 (MI) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MI2022-130 |
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