TY - GEN
T1 - Automatic measurement of quality metrics for colonoscopy videos
AU - Hwang, Sae
AU - Oh, Junghwan
AU - Lee, Jeongkyu
AU - Cao, Yu
AU - Tavanapong, Wallapak
AU - Liu, Danyu
AU - Wong, Johnny
AU - De Groen, Piet C.
PY - 2005
Y1 - 2005
N2 - Colonoscopy is the accepted screening method for detection of colorectal cancer or its precursor lesions, colorectal polyps. Indeed, colonoscopy has contributed to a decline in the number of colorectal cancer related deaths. However, not all cancers or large polyps are detected at the time of colonoscopy, and methods to investigate why this occurs are needed. We present a new computer-based method that allows automated measurement of a number of metrics that likely reflect the quality of the colonoscopic procedure. The method is based on analysis of a digitized video file created during colonoscopy, and produces information regarding insertion time, withdrawal time, images at the time of maximal intubation, the time and ratio of clear versus blurred or non-informative images, and a first estimate of effort performed by the endoscopist. As these metrics can be obtained automatically, our method allows future quality control in the day-to-day medical practice setting on a large scale. In addition, our method can be adapted to other healthcare procedures. Last but not least, our method may be useful to assess progress during colonoscopy training, or as part of endoscopic skills assessment evaluations.
AB - Colonoscopy is the accepted screening method for detection of colorectal cancer or its precursor lesions, colorectal polyps. Indeed, colonoscopy has contributed to a decline in the number of colorectal cancer related deaths. However, not all cancers or large polyps are detected at the time of colonoscopy, and methods to investigate why this occurs are needed. We present a new computer-based method that allows automated measurement of a number of metrics that likely reflect the quality of the colonoscopic procedure. The method is based on analysis of a digitized video file created during colonoscopy, and produces information regarding insertion time, withdrawal time, images at the time of maximal intubation, the time and ratio of clear versus blurred or non-informative images, and a first estimate of effort performed by the endoscopist. As these metrics can be obtained automatically, our method allows future quality control in the day-to-day medical practice setting on a large scale. In addition, our method can be adapted to other healthcare procedures. Last but not least, our method may be useful to assess progress during colonoscopy training, or as part of endoscopic skills assessment evaluations.
KW - Camera Motion
KW - Colonoscopy
KW - Quality Measurement Metrics
KW - Video Segmentation
UR - http://www.scopus.com/inward/record.url?scp=34047164687&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34047164687&partnerID=8YFLogxK
U2 - 10.1145/1101149.1101343
DO - 10.1145/1101149.1101343
M3 - Conference contribution
AN - SCOPUS:34047164687
SN - 1595930442
SN - 9781595930446
T3 - Proceedings of the 13th ACM International Conference on Multimedia, MM 2005
SP - 912
EP - 921
BT - Proceedings of the 13th ACM International Conference on Multimedia, MM 2005
T2 - 13th ACM International Conference on Multimedia, MM 2005
Y2 - 6 November 2005 through 11 November 2005
ER -