@inproceedings{e7ab20759aa940f69646269318a13879,
title = "Vision and inertial-based image mapping for capsule endoscopy",
abstract = "Capsule endoscopy is a non-invasive procedure for gastrointestinal diagnosis. It does not require sedation and it is comfortable and well tolerated by patient. However, the problem with such procedure is that a huge number of images is collected, which require time to investigate and diagnose; furthermore, the capsule movement is not controlled leading, in some cases, to inaccurate diagnosis. In this context, a mapping of the lumen is required to guarantee a higher reliability of the inspection, enabling the medical doctor to evaluate all the parts of the lumen for a better diagnosis. In this paper, we propose a method for mapping images from a capsule-based endoscope: the technique uses visual and inertial-based data fusion to obtain a 3D map of the lumen from 2D capsule images, also paving the way for the implementation of a path planning and autonomous locomotion and inspection.",
keywords = "Capsule endoscopy, mapping, vision-inertial fusion",
author = "Yasmeen Abu-Kheil and Gastone Ciuti and Marco Mura and Jorge Dias and Paolo Dario and Lakmal Seneviratne",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 1st International Conference on Information and Communication Technology Research, ICTRC 2015 ; Conference date: 17-05-2015 Through 19-05-2015",
year = "2015",
month = jul,
day = "14",
doi = "10.1109/ICTRC.2015.7156427",
language = "British English",
series = "2015 International Conference on Information and Communication Technology Research, ICTRC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "84--87",
booktitle = "2015 International Conference on Information and Communication Technology Research, ICTRC 2015",
address = "United States",
}