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Modern techniques for medical diagnosis and therapy make considerable use of endoscopes. Unfortunately, the wide-angle characteristic of endoscopes introduce severe aberrations such as chromatic aberration, geometric distortion or comb-structure to the images. The aberrations hinder or at worst prevent the application of fundamental image processing techniques for an appropriate image analysis. In...
The Compact Lightweight Surgery Robot from the University of Hawaii includes two teleoperated instruments and one endoscope manipulator which act in accord to perform assisted interventional medicine. The relative positions and orientations of the robotic instruments and endoscope must be known to the teleoperation system so that the directions of the instrument motions can be controlled to correspond...
This paper presents a low-complexity video encoding method applicable for wireless image transmission in capsule endoscopes. This encoding method is based on Wyner-Ziv theory, in which side information available at a transmitter is treated as side information at its receiver. Therefore complex processes in video encoding, such as estimation of the motion vector, are moved to the receiver side, which...
In recent years, an innovative method has been developed for the non-invasive observation of the gastrointestinal tract (GT), namely Wireless Capsule Endoscopy (WCE). WCE especially enables a detailed inspection of the entire small bowel and identification of its clinical lesions. However, the foremost disadvantage of this technological breakthrough is the time consuming task of reviewing the vast...
Wireless Capsule Endoscopy (WCE) is a revolutionary technology that allows physicians to examine the patients whole gastrointestinal tract, especially the small intestine. However, reviewing capsule endoscopic video is a labor intensive task and very time consuming. In this paper we propose a novel method to detect key frames with abnormalities. It is based on the adaptive non-parametric corner detection...
Automatic classification of cancer lesions in tissues observed using gastroenterology imaging is a non-trivial pattern recognition task involving filtering, segmentation, feature extraction and classification. In this paper we measure the impact of a variety of segmentation algorithms (mean shift, normalized cuts, level-sets) on the automatic classification performance of gastric tissue into three...
Wireless capsule endoscopy (WCE) has been gradually applied for inspecting the gastrointestinal (GI) tract. However, WCE can only provide monocular view. Moreover, only a small part of GI wall is visible frame by frame due to the limited illumination and irregular motion of the capsule endoscope. The perception of entire GI structure could be hard even for the experienced endoscopists. A realistic...
This paper is concerned with the classification of tumoral tissue in the small bowel by using capsule endoscopic images. The followed approach is based on texture classification. Texture descriptors are derived from selected scales of the Discrete Curvelet Transform (DCT). The goal is to take advantage of the high directional sensitivity of the DCT (16 directions) when compared with the Discrete Wavelet...
This work focuses on the recognition of three-dimensional colon polyps captured by an active stereo vision sensor. The detection algorithm consists of SVM classifier trained on robust feature descriptors. The study is related to Cyclope, this prototype sensor allows real time 3D object reconstruction and continues to be optimized technically to improve its classification task by differentiation between...
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