Intestinal region reconstruction of ileus cases from 3D CT images based on graphical representation and its visualization

Hirohisa Oda; Yuichiro Hayashi; Takayuki Kitasaka; Yudai Tamada; Aitaro Takimoto; Akinari Hinoki; Hiroo Uchida; Kojiro Suzuki; Hayato Itoh; Masahiro Oda; Kensaku Mori

doi:10.1117/12.2581261

15 February 2021 Intestinal region reconstruction of ileus cases from 3D CT images based on graphical representation and its visualization

Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Yudai Tamada, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Hayato Itoh, Masahiro Oda, Kensaku Mori

Author Affiliations +

Proceedings Volume 11597, Medical Imaging 2021: Computer-Aided Diagnosis; 115971N (2021) https://doi.org/10.1117/12.2581261
Event: SPIE Medical Imaging, 2021, Online Only

Abstract

This paper proposes an intestinal region reconstruction method from CT volumes of ileus cases. Binarized intestine segmentation results often contain incorrect contacts or loops. We utilize the 3D U-Net to estimate the distance map, which is high only at the centerlines of the intestines, to obtain regions around the centerlines. Watershed algorithm is utilized with local maximums of the distance maps as seeds for obtaining “intestine segments”. Those intestine segments are connected as graphs, for removing incorrect contacts and loops and to extract “intestine paths”, which represent how intestines are running. Experimental results using 19 CT volumes showed that our proposed method properly estimated intestine paths. These results were intuitively visualized for understanding the shape of the intestines and finding obstructions.

Conference Presentation

Citation Download Citation

Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Yudai Tamada, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Hayato Itoh, Masahiro Oda, and Kensaku Mori "Intestinal region reconstruction of ileus cases from 3D CT images based on graphical representation and its visualization", Proc. SPIE 11597, Medical Imaging 2021: Computer-Aided Diagnosis, 115971N (15 February 2021); https://doi.org/10.1117/12.2581261

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available