An integrated electronic colon cleansing for CT colonoscopy via MAP-EM segmentation and scale-based scatter correction

Hao Zhang; Lihong Li; Hongbin Zhu; Qin Lin; Donald Harrington; Zhengrong Liang

doi:10.1117/12.910922

23 February 2012 An integrated electronic colon cleansing for CT colonoscopy via MAP-EM segmentation and scale-based scatter correction

Hao Zhang, Lihong Li, Hongbin Zhu, Qin Lin, Donald Harrington, Zhengrong Liang

Author Affiliations +

Proceedings Volume 8315, Medical Imaging 2012: Computer-Aided Diagnosis; 83151L (2012) https://doi.org/10.1117/12.910922
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

Orally administered tagging agents are usually used in CT colonography (CTC) to differentiate residual bowel content from native colonic structure. However, the high-density contrast agents tend to introduce the scatter effect on neighboring soft tissues and elevate their observed CT attenuation values toward that of the tagged materials (TMs), which may result in an excessive electronic colon cleansing (ECC) where pseudo-enhanced soft tissues are incorrectly identified as TMs. To address this issue, we integrated a scale-based scatter correction as a preprocessing procedure into our previous ECC pipeline based on the maximum a posteriori expectation-maximization (MAP-EM) partial volume segmentation. The newly proposed ECC scheme takes into account both scatter effect and partial volume effect that commonly appear in CTC images. We evaluated the new method with 10 patient CTC studies and found improved performance. Our results suggest that the proposed strategy is effective with potentially significant benefits for both clinical CTC examinations and automatic computer-aided detection (CAD) of colon polyps.

Citation Download Citation

Hao Zhang, Lihong Li, Hongbin Zhu, Qin Lin, Donald Harrington, and Zhengrong Liang "An integrated electronic colon cleansing for CT colonoscopy via MAP-EM segmentation and scale-based scatter correction", Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83151L (23 February 2012); https://doi.org/10.1117/12.910922

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