Contraction detection in small bowel from an image sequence of wireless capsule endoscopy.
This paper describes a method for automatic detection of contractions in the small bowel through analyzing Wireless Capsule Endoscopic images. Based on the characteristics of contraction images, a coherent procedure that includes analyzes of the temporal and spatial features is proposed. For temporal features, the image sequence is examined to detect candidate contractions through the changing number of edges and an evaluation of similarities between the frames of each possible contraction to eliminate cases of low probability. For spatial features, descriptions of the directions at the edge pixels are used to determine contractions utilizing a classification method. The experimental results show the effectiveness of our method that can detect a total of 83% of cases. Thus, this is a feasible method for developing tools to assist in diagnostic procedures in the small bowel.
Vu
Hai
H
The Institute of Scientific and Industrial Research, Osaka University.
Echigo
Tomio
T
Sagawa
Ryusuke
R
Yagi
Keiko
K
Shiba
Masatsugu
M
Higuchi
Kazuhide
K
Arakawa
Tetsuo
T
Yagi
Yasushi
Y
D053704:Capsule Endoscopy / Q000379:methods*; D005240:Feasibility Studies; D005769:Gastrointestinal Motility / Q000502:physiology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007421:Intestine, Small / Q000033:anatomy & histology* / Q000502:physiology*; D009119:Muscle Contraction / Q000502:physiology*; D013382:Subtraction Technique; D013686:Telemetry / Q000379:methods*; D014741:Video Recording / Q000379:methods