Title
New Image Similarity Measure for Bronchoscope Tracking Based on Image Registration
Abstract
This paper presents new image similarity measure for bronchoscope tracking based on image registration between real and virtual endoscopic images. A function for bronchoscope tracking is one of the fundamental functions in a bronchoscope navigation system. Since it is difficult to attach a positional sensor at the tip of the bronchoscope due to the space limitation, image registration between real endoscopic (RE) and virtual endoscopic (VE) images becomes a strong tool for bronchoscopic camera motion tracking. The summing-type image similarity measuring methods including mean squared error or mutual information could not properly estimate the position and orientation of the endoscope, since the outputs of these methods do not change significantly due to averaging. This paper proposes new image similarity measure that effectively uses characteristic structures observed in bronchoscopic views in similarity computation. This method divides the original image into a set of small subblocks and selects only the subblocks in which characteristic shapes are seen. Then, an image similarity value is calculated only inside the selected subblocks. We applied the proposed method to eight pairs of X-ray CT images and real bronchoscopic videos. The experimental showed much improvement in continuous tracking performance. Nearly 1000 consecutive frames were tracked correctly.
Year
DOI
Venue
2003
10.1007/978-3-540-39899-8_50
LECTURE NOTES IN COMPUTER SCIENCE
Keywords
Field
DocType
image registration,mutual information,mean square error
Computer vision,Similarity computation,Pattern recognition,Similarity measure,Computer science,Navigation system,Mean squared error,Artificial intelligence,Mutual information,Match moving,Image registration
Conference
Volume
ISSN
Citations 
2878
0302-9743
8
PageRank 
References 
Authors
1.20
3
7
Name
Order
Citations
PageRank
Daisuke Deguchi137762.03
Kensaku Mori21125160.28
Y Suenaga3737187.41
Jun-ichi Hasegawa422161.17
Jun-ichiro Toriwaki5578136.04
Hirotsugu Takabatake623529.60
Hiroshi Natori722028.49