TY - GEN
T1 - Real-time phase boundary detection for colonoscopy videos using motion vector templates
AU - Nawarathna, Ruwan
AU - Oh, Jung Hwan
AU - Muthukudage, Jayantha
AU - Tavanapong, Wallapak
AU - Wong, Johnny
AU - De Groen, Piet C.
PY - 2012
Y1 - 2012
N2 - Colonoscopy is the preferred screening method currently available for detection of colorectal cancer and its precursor lesions, colorectal polyps. However, recent data suggest that there is a significant miss rate for the detection of polyps in the colon during colonoscopy. Therefore, techniques for real-time quality measurement and feedback are necessary to aid the endoscopist towards optimal inspection to improve the overall quality of colonoscopy during the procedure. A typical colonoscopy procedure consists of two phases: an insertion phase and a withdrawal phase. One of the most essential tasks in real-time fully automated quality measurement is to find the location of the boundary between insertion and withdrawal phases. In this paper, we present a method based on motion vector templates to detect the phase boundary in real-time. The proposed method detects the phase boundary with a better accuracy and a faster speed compared to our previous method.
AB - Colonoscopy is the preferred screening method currently available for detection of colorectal cancer and its precursor lesions, colorectal polyps. However, recent data suggest that there is a significant miss rate for the detection of polyps in the colon during colonoscopy. Therefore, techniques for real-time quality measurement and feedback are necessary to aid the endoscopist towards optimal inspection to improve the overall quality of colonoscopy during the procedure. A typical colonoscopy procedure consists of two phases: an insertion phase and a withdrawal phase. One of the most essential tasks in real-time fully automated quality measurement is to find the location of the boundary between insertion and withdrawal phases. In this paper, we present a method based on motion vector templates to detect the phase boundary in real-time. The proposed method detects the phase boundary with a better accuracy and a faster speed compared to our previous method.
KW - Colonoscopy
KW - camera motion estimation
KW - end of insertion
KW - motion vector templates
KW - motion vectors
KW - phase boundary
UR - http://www.scopus.com/inward/record.url?scp=84868243444&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84868243444&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-33612-6_13
DO - 10.1007/978-3-642-33612-6_13
M3 - Conference contribution
AN - SCOPUS:84868243444
SN - 9783642336119
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 116
EP - 125
BT - Abdominal Imaging
T2 - 4th International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012
Y2 - 1 October 2012 through 1 October 2012
ER -
