Cable footprint history: Spatio-temporal technique for instrument detection in gastrointestinal endoscopic procedures

Chuanhai Zhang, Wallapak Tavanapong, Johnny Wong, Piet C. De Groen, Jung Hwan Oh

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

2 Scopus citations

Abstract

We propose a new fast spatio-temporal technique that detects an operation scene-a video segment corresponding to a single purpose diagnosis action or a single purpose therapeutic action. The technique utilizes (1) color contrast of the cable region and the background, (2) the new area-based coordinate system to compute spatial features, and (3) the history of locations of detected cables of the instrument in a video to discard false regions. The proposed technique and software are useful for (1) automatic documentation of diagnostic or therapeutic operations at the end of the procedure, (2) a second review for causes of complications due to these operations, and (3) a building block for an effective content-based retrieval system to facilitate endoscopic research and education. On 38 full-length colonoscopy and upper endoscopy video files with different cable colors and four different insertion directions of the instruments, the average percentage of false positive duration is small at 2.23%. The average percentage of true positive duration is high at 92.9%. The average analysis time per image is 13 milliseconds on an inexpensive off-the-shelf PC.

Original languageEnglish (US)
Title of host publicationProceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015
EditorsHamid R. Arabnia, Leonidas Deligiannidis, Fernando G. Tinetti, George Jandieri, Gerald Schaefer, Ashu M. G. Solo
PublisherCSREA Press
Pages308-314
Number of pages7
ISBN (Electronic)1601324049, 9781601324047
StatePublished - 2015
Externally publishedYes
Event2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015 - Las Vegas, United States
Duration: Jul 27 2015Jul 30 2015

Publication series

NameProceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015

Conference

Conference2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015
CountryUnited States
CityLas Vegas
Period7/27/157/30/15

Bibliographical note

Funding Information:
This work is partially supported by Iowa Regent Innovation Funds and EndoMetric Corp. Johnny Wong, Wallapak Tavanapong, and JungHwan Oh hold positions in EndoMetric Corporation, Ames, IA 50014, U.S.A, a for profit company that markets endoscopy-related software. De Groen is the medical advisor of EndoMetric.

Publisher Copyright:
© International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015.All right reserved.

Keywords

  • Colonoscopy
  • Image analysis
  • Image features
  • Instruments
  • Polypectomy

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