Effective and accelerated informative frame filtering in colonoscopy videos using graphics processing unit

Venkata Praveen Karri, Jung Hwan Oh, Wallapak Tavanapong, Johnny Wong, Piet C. De Groen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

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-fold acceleration compared to CPU-only implementation for our IFF software module.

Original languageEnglish (US)
Title of host publicationBIOSIGNALS 2011 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing
Pages119-124
Number of pages6
StatePublished - Jul 18 2011
EventInternational Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2011 - Rome, Italy
Duration: Jan 26 2011Jan 29 2011

Publication series

NameBIOSIGNALS 2011 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing

Other

OtherInternational Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2011
CountryItaly
CityRome
Period1/26/111/29/11

Keywords

  • CPU multi-threading
  • CUDA
  • Colonoscopy
  • GPU
  • Informative frame filtering

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering

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  • Cite this

    Karri, V. P., Oh, J. H., Tavanapong, W., Wong, J., & De Groen, P. C. (2011). Effective and accelerated informative frame filtering in colonoscopy videos using graphics processing unit. In BIOSIGNALS 2011 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing (pp. 119-124). (BIOSIGNALS 2011 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing).