Share Email Print

Proceedings Paper

Classification of colon polyps in NBI endoscopy using vascularization features
Author(s): Thomas Stehle; Roland Auer; Sebastian Gross; Alexander Behrens; Jonas Wulff; Til Aach; Ron Winograd; Christian Trautwein; Jens Tischendorf
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The evolution of colon cancer starts with colon polyps. There are two different types of colon polyps, namely hyperplasias and adenomas. Hyperplasias are benign polyps which are known not to evolve into cancer and, therefore, do not need to be removed. By contrast, adenomas have a strong tendency to become malignant. Therefore, they have to be removed immediately via polypectomy. For this reason, a method to differentiate reliably adenomas from hyperplasias during a preventive medical endoscopy of the colon (colonoscopy) is highly desirable. A recent study has shown that it is possible to distinguish both types of polyps visually by means of their vascularization. Adenomas exhibit a large amount of blood vessel capillaries on their surface whereas hyperplasias show only few of them. In this paper, we show the feasibility of computer-based classification of colon polyps using vascularization features. The proposed classification algorithm consists of several steps: For the critical part of vessel segmentation, we implemented and compared two segmentation algorithms. After a skeletonization of the detected blood vessel candidates, we used the results as seed points for the Fast Marching algorithm which is used to segment the whole vessel lumen. Subsequently, features are computed from this segmentation which are then used to classify the polyps. In leave-one-out tests on our polyp database (56 polyps), we achieve a correct classification rate of approximately 90%.

Paper Details

Date Published: 27 February 2009
PDF: 12 pages
Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72602S (27 February 2009); doi: 10.1117/12.808103
Show Author Affiliations
Thomas Stehle, RWTH Aachen Univ. (Germany)
Roland Auer, RWTH Aachen Univ. (Germany)
Sebastian Gross, RWTH Aachen Univ. (Germany)
Univ. Hospital Aachen (Germany)
Alexander Behrens, RWTH Aachen Univ. (Germany)
Jonas Wulff, RWTH Aachen Univ. (Germany)
Til Aach, RWTH Aachen Univ. (Germany)
Ron Winograd, Univ. Hospital Aachen (Germany)
Christian Trautwein, Univ. Hospital Aachen (Germany)
Jens Tischendorf, Univ. Hospital Aachen (Germany)

Published in SPIE Proceedings Vol. 7260:
Medical Imaging 2009: Computer-Aided Diagnosis
Nico Karssemeijer; Maryellen L. Giger, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?