Computer-aided detection of initial polyp candidates with level set-based adaptive convolution

Hongbin Zhu; Chaijie Duan; Zhengrong Liang

doi:10.1117/12.811682

27 February 2009 Computer-aided detection of initial polyp candidates with level set-based adaptive convolution

Hongbin Zhu, Chaijie Duan, Zhengrong Liang

Proceedings Volume 7260, Medical Imaging 2009: Computer-Aided Diagnosis; 72602T (2009) https://doi.org/10.1117/12.811682
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

In order to eliminate or weaken the interference between different topological structures on the colon wall, adaptive and normalized convolution methods were used to compute the first and second order spatial derivatives of computed tomographic colonography images, which is the beginning of various geometric analyses. However, the performance of such methods greatly depends on the single-layer representation of the colon wall, which is called the starting layer (SL) in the following text. In this paper, we introduce a level set-based adaptive convolution (LSAC) method to compute the spatial derivatives, in which the level set method is employed to determine a more reasonable SL. The LSAC was applied to a computer-aided detection (CAD) scheme to detect the initial polyp candidates, and experiments showed that it benefits the CAD scheme in both the detection sensitivity and specificity as compared to our previous work.

Citation Download Citation

Hongbin Zhu, Chaijie Duan, and Zhengrong Liang "Computer-aided detection of initial polyp candidates with level set-based adaptive convolution", Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72602T (27 February 2009); https://doi.org/10.1117/12.811682

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