Comparative study of image registration techniques for bladder video-endoscopy

TL;DR

This paper compares two image registration algorithms to create panoramic bladder maps from video-endoscopy, aiding in better visualization of lesions spread over multiple images.

Contribution

It provides a quantitative comparison of two mosaicing algorithms for bladder endoscopy, which was previously lacking in the literature.

Findings

One algorithm outperforms the other in accuracy.

Both algorithms successfully create panoramic bladder images.

The study uses real and simulated data for evaluation.

Abstract

Bladder cancer is widely spread in the world. Many adequate diagnosis techniques exist. Video-endoscopy remains the standard clinical procedure for visual exploration of the bladder internal surface. However, video-endoscopy presents the limit that the imaged area for each image is about nearly 1cm2. And, lesions are, typically, spread over several images. The aim of this contribution is to assess the performance of two mosaicing algorithms leading to the construction of panoramic maps (one unique image) of bladder walls. The quantitative comparison study is performed on a set of real endoscopic exam data and on simulated data relative to bladder phantom.