Composite endoscope images from massive inner intestine photos

Authors:
Eunjung Kim;Kwan-Hee Yoo;Je-Hoon Lee;Yong-Dae Kim;Younggap You
Affiliations:
Dept. of Computer and Communication Eng., Chungbuk Nat'l Univ, Cheongju, Chugnbuk, Korea;Dept. of Computer Education, Chungbuk Nat'l Univ, Cheongju, Chugnbuk, Korea;Dept. of Computer and Communication Eng., Chungbuk Nat'l Univ, Cheongju, Chugnbuk, Korea;Dept. of Computer and Communication Eng., Chungbuk Nat'l Univ, Cheongju, Chugnbuk, Korea;Dept. of Computer and Communication Eng., Chungbuk Nat'l Univ, Cheongju, Chugnbuk, Korea
Venue:
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Year:
2007

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Deformable registration for generating dissection image of an intestine from annular image sequence

CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications

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Abstract

This paper presented an image reconstruction method for a capsule endoscope. The proposed method constructs a 3-D model of the intestine using massive images obtained from the capsule endoscope. It merges all images and yields a complete 3-D model of the intestine. This 3-D model is reformed as a 2-D plane image showing the inner side of the entire intestine. The proposed image composition has been evaluated using the OpenGL 3-D simulator. The composite image provides an easy-to-understand view for examining the intestine. In addition, it provides fast track-and-check diagnosis using the 3-D model implementation.