DocumentCode :
140985
Title :
Measurement of motion detection of Wireless Capsule Endoscope inside large intestine
Author :
Mingda Zhou ; Guanqun Bao ; Pahlavan, Kaveh
Author_Institution :
Center for Wireless Inf. Network Studies, Worcester Polytech. Inst., Worcester, MA, USA
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
5591
Lastpage :
5594
Abstract :
Wireless Capsule Endoscope (WCE) provides a noninvasive way to inspect the entire Gastrointestinal (GI) tract, including large intestine, where intestinal diseases most likely occur. As a critical component of capsule endoscopic examination, physicians need to know the precise position of the endoscopic capsule in order to identify the position of detected intestinal diseases. Knowing how the capsule moves inside the large intestine would greatly complement the existing wireless localization systems by providing the motion information. Since the most recently released WCE can take up to 6 frames per second, it´s possible to estimate the movement of the capsule by processing the successive image sequence. In this paper, a computer vision based approach without utilizing any external device is proposed to estimate the motion of WCE inside the large intestine. The proposed approach estimate the displacement and rotation of the capsule by calculating entropy and mutual information between frames using Fibonacci method. The obtained results of this approach show its stability and better performance over other existing approaches of motion measurements. Meanwhile, findings of this paper lay a foundation for motion pattern of WCEs inside the large intestine, which will benefit other medical applications.
Keywords :
biological organs; biomedical optical imaging; biomedical telemetry; body sensor networks; computer vision; data mining; diseases; endoscopes; feature extraction; image sequences; information theory; medical image processing; motion estimation; telemedicine; Fibonacci method; GI tract inspection; WCE motion estimation; WCE motion pattern; capsule displacement estimation; capsule endoscopic examination; capsule movement estimation; capsule movement information; capsule rotation estimation; computer vision based approach; endoscopic capsule position; entropy calculation; external device; image sequence processing; intestinal disease detection; intestinal disease position identification; large intestine; medical application; motion detection measurement; mutual frame information; noninvasive gastrointestinal tract inspection; wireless capsule endoscope; wireless localization systems; Endoscopes; Intestines; Mutual information; Noise; Tracking; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944894
Filename :
6944894
Link To Document :
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