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Authors: Venkata Praveen Karri 1 ; JungHwan Oh 1 ; Wallapak Tavanapong 2 ; Johnny Wong 2 and Piet C. de Groen 3

Affiliations: 1 University of North Texas, United States ; 2 Iowa State University, United States ; 3 College of Medicine and Mayo Clinic, United States

ISBN: 978-989-8425-35-5

Keyword(s): Colonoscopy, CUDA, GPU, CPU multi-threading, Informative frame filtering.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing

Abstract: Colonoscopy is an endoscopic technique that allows a physician to inspect the mucosa of the human colon. It has contributed to a marked decline in the number of colorectal cancer related deaths. However, recent data suggest that there is a significant (4-12%) miss-rate for the detection of even large polyps and cancers. To address this, we have investigated automated post-procedure and real-time quality measurements by analyzing colonoscopy videos. One of the fundamental steps is separating informative frames from non-informative frames, a process called Informative Frame Filtering (IFF). Non-informative frames comprise out-of-focus frames and frames lacking typical features of the colon. We introduce a new IFF algorithm in this paper, which is much more accurate than our previous one. Also, we exploit the many-core GPU (Graphics Processing Unit) to create an IFF software module for High Performance Computing (HPC). Code optimizations embedded in the many-core GPU resulted in a 40-fol d acceleration compared to CPU-only implementation for our IFF software module. (More)

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Paper citation in several formats:
Karri, V.; Oh, J.; Tavanapong, W.; Wong, J. and de Groen, P. (2011). EFFECTIVE AND ACCELERATED INFORMATIVE FRAME FILTERING IN COLONOSCOPY VIDEOS USING GRAPHICS PROCESSING UNIT.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011) ISBN 978-989-8425-35-5, pages 119-124. DOI: 10.5220/0003123401190124

@conference{biosignals11,
author={Venkata Praveen Karri. and JungHwan Oh. and Wallapak Tavanapong. and Johnny Wong. and Piet C. de Groen.},
title={EFFECTIVE AND ACCELERATED INFORMATIVE FRAME FILTERING IN COLONOSCOPY VIDEOS USING GRAPHICS PROCESSING UNIT},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)},
year={2011},
pages={119-124},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003123401190124},
isbn={978-989-8425-35-5},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)
TI - EFFECTIVE AND ACCELERATED INFORMATIVE FRAME FILTERING IN COLONOSCOPY VIDEOS USING GRAPHICS PROCESSING UNIT
SN - 978-989-8425-35-5
AU - Karri, V.
AU - Oh, J.
AU - Tavanapong, W.
AU - Wong, J.
AU - de Groen, P.
PY - 2011
SP - 119
EP - 124
DO - 10.5220/0003123401190124

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