Automatic teniae coli detection for computed tomography colonography

Hongbin Zhu; Lihong Li; Yi Fan; Qin Lin; Hongbing Lu; Xianfeng Gu; Zhengrong Liang

doi:10.1117/12.878059

9 March 2011 Automatic teniae coli detection for computed tomography colonography

Hongbin Zhu, Lihong Li, Yi Fan, Qin Lin, Hongbing Lu, Xianfeng Gu, Zhengrong Liang

Author Affiliations +

Proceedings Volume 7963, Medical Imaging 2011: Computer-Aided Diagnosis; 79632N (2011) https://doi.org/10.1117/12.878059
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

Human colon has complex structures since it turns, twists, and even mobiles when the position of patient changes. The awareness of the locations and orientations is very important for improving the experience of virtual navigation, registration of supine/prone images and polyp matching. Teniae coli (TCs) are three longitudinal muscles along the human colon. They are parts of the colon wall, and they have the potential to serve as reliable landmarks to provide the above mentioned awareness. Morphologically, TCs are three smooth narrow bands, approximately perpendicular to the haustral folds, and extending between the fold pairs in a parallel manner. Such characteristics make the TCs detectable if the folds have been extracted already. In this study, based on the previous work of the segmentation of haustral folds, we introduce a new method of automatically detecting the three TCs. The experiments will be conducted on real patient studies to demonstrate the feasibility of the method, and solid evaluation will be conducted based on a flattened two-dimensional (2D) colon representation.

Citation Download Citation

Hongbin Zhu, Lihong Li, Yi Fan, Qin Lin, Hongbing Lu, Xianfeng Gu, and Zhengrong Liang "Automatic teniae coli detection for computed tomography colonography", Proc. SPIE 7963, Medical Imaging 2011: Computer-Aided Diagnosis, 79632N (9 March 2011); https://doi.org/10.1117/12.878059

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