Design of Micro-Ball endoscopy system

In order to reduce the miss rate of the wireless capsule endoscopy and help physicians to read endoscopic images in an easier manner, this paper proposes a Micro-Ball endoscopy system which is equipped with six cameras. This work develops key techniques to miniaturize the size and lower the power consumption of the Micro-Ball. The Micro-Ball is activated by a wireless power supply unit with a rectifying efficiency of 93.6%. An effective image post-processing method for deriving 2D representation of the digestive tract wall is also presented. The Micro-Ball integrates a low-power attitude sensing unit to provide information for image registration and Micro-Ball control. These designs assure that the Micro-Ball has small size (diameter less than 15mm), can work for more than 15 hours, at an image resolution of 480×480 and an image frame rate of 2fps, when powered by 1.55V@60mAh battery. The effectiveness of the Micro-Ball system has been verified by an FPGA demonstration system.

[1]  Matthijs C. Dorst.  Distinctive Image Features from Scale-Invariant Keypoints , 2011 .

[2]  Jun Hu,et al.  Attitude sensing system design for wireless Micro-Ball endoscopy , 2011, 2011 IEEE International Symposium of Circuits and Systems (ISCAS).

[3]  Zhihua Wang,et al.  The design and implementation of a chipset for the endoscopic Micro-Ball , 2012, 2012 IEEE International Symposium on Circuits and Systems.

[4]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[5]  G. Iddan,et al.  Wireless capsule endoscopy , 2003, Gut.

[6]  Dan Wang,et al.  Image registration method for 2D representation of wireless Micro-Ball endoscopic images , 2011, 2011 IEEE International Symposium of Circuits and Systems (ISCAS).

[7]  Tetsuya Nakamura,et al.  Capsule endoscopy: past, present, and future , 2008, Journal of Gastroenterology.

[8]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[9]  Zhihua Wang,et al.  An omnidirectional wireless power receiving IC with 93.6% efficiency CMOS rectifier and Skipping Booster for implantable bio-microsystems , 2011, IEEE Asian Solid-State Circuits Conference 2011.

[10]  G. Wahba.  A Least Squares Estimate of Satellite Attitude , 1965 .