English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

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.

New Image Similarity Measure for Bronchoscope Tracking Based on Image Registration