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Deformable Registration for Generating Dissection Image of an Intestine from Annular Image Sequence.

Authors :
Yanxi Liu
Tianzi Jiang
Changshui Zhang
Pongnumkul, Suchit
Sagawa, Ryusuke
Echigo, Tomio
Yagi, Yasushi
Source :
Computer Vision for Biomedical Image Applications; 2005, p271-280, 10p
Publication Year :
2005

Abstract

Examination inside an intestine by an endoscope is difficult and time consuming, because the whole image of the intestine cannot be taken at one time due to the limited field of view. Thus, it is necessary to generate a dissection image, which can be obtained by extending the image of an intestine. We acquire an annular image sequence with an omnidirectional or wide-angle camera, and then generate the dissection image by mosaicing the image sequence. Though usual mosaicing techniques transform an image by perspective or affine transformations, these are not suitable for our situation because the target object is a generalized cylinder and the camera motion is unknown a priori. Therefore, we propose a novel approach for image registration that deforms images by a two-dimensional-polynomial function which parameters are estimated from optical flow. We evaluated our method by registering annular image sequences and we successfully generated dissection images, as presented in this paper. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540294115
Database :
Supplemental Index
Journal :
Computer Vision for Biomedical Image Applications
Publication Type :
Book
Accession number :
32887204
Full Text :
https://doi.org/10.1007/11569541_28