@inproceedings{f793352ab1994f1581b9b271c5e24ab3,
title = "Trajectory analysis of endoscopic capsule images: A feasibility study",
abstract = "Standard endoscopy is a screening method that allows the detection of GI tract pathologies and lesions. However, it was demonstrated that endoscopy suffers from a significant miss rate for cancer detection. Therefore, there is a need to establish a standard protocol that can quantify the quality of endoscopic procedures, assist physicians in analyzing their performance and train them on how to select navigation techniques that result in different levels of quality inspection. In this paper, we propose a method to evaluate the performance of endoscopists by analyzing the trajectory produced by the endoscopic camera. The proposed method consists of three main modules: i) the image analysis module for estimating camera positions; ii) Kalman filter for estimating velocity and acceleration profiles; and iii) analysis module to analyze the trajectory based on the density of observed images and the acceleration profile. The approach was preliminary tested with a dataset of images collected from an ex-vivo experiment, with porcine tissue.",
author = "Yasmeen Abu-Kheil and Marco Mura and Gastone Ciuti and Paolo Dario and Lakmal Seneviratne and Jorge Dias",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016 ; Conference date: 16-10-2016 Through 19-10-2016",
year = "2016",
month = jul,
day = "2",
doi = "10.1109/MWSCAS.2016.7869967",
language = "British English",
series = "Midwest Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016",
address = "United States",
}
