Semantic and topological classification of images in magnetically guided capsule endoscopy

P. W. Mewes; P. Rennert; A. Lj. Juloski; A. Lalande; E. Angelopoulou; R. Kuth; J. Hornegger

doi:10.1117/12.912280

23 February 2012 Semantic and topological classification of images in magnetically guided capsule endoscopy

P. W. Mewes, P. Rennert, A. Lj. Juloski, A. Lalande, E. Angelopoulou, R. Kuth, J. Hornegger

Proceedings Volume 8315, Medical Imaging 2012: Computer-Aided Diagnosis; 83151A (2012) https://doi.org/10.1117/12.912280
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

Magnetically-guided capsule endoscopy (MGCE) is a nascent technology with the goal to allow the steering of a capsule endoscope inside a water filled stomach through an external magnetic field. We developed a classification cascade for MGCE images with groups images in semantic and topological categories. Results can be used in a post-procedure review or as a starting point for algorithms classifying pathologies. The first semantic classification step discards over-/under-exposed images as well as images with a large amount of debris. The second topological classification step groups images with respect to their position in the upper gastrointestinal tract (mouth, esophagus, stomach, duodenum). In the third stage two parallel classifications steps distinguish topologically different regions inside the stomach (cardia, fundus, pylorus, antrum, peristaltic view). For image classification, global image features and local texture features were applied and their performance was evaluated. We show that the third classification step can be improved by a bubble and debris segmentation because it limits feature extraction to discriminative areas only. We also investigated the impact of segmenting intestinal folds on the identification of different semantic camera positions. The results of classifications with a support-vector-machine show the significance of color histogram features for the classification of corrupted images (97%). Features extracted from intestinal fold segmentation lead only to a minor improvement (3%) in discriminating different camera positions.

Citation Download Citation

P. W. Mewes, P. Rennert, A. Lj. Juloski, A. Lalande, E. Angelopoulou, R. Kuth, and J. Hornegger "Semantic and topological classification of images in magnetically guided capsule endoscopy", Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83151A (23 February 2012); https://doi.org/10.1117/12.912280

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