TY - GEN
T1 - Vision and inertial-based image mapping for capsule endoscopy
AU - Abu-Kheil, Yasmeen
AU - Ciuti, Gastone
AU - Mura, Marco
AU - Dias, Jorge
AU - Dario, Paolo
AU - Seneviratne, Lakmal
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/14
Y1 - 2015/7/14
N2 - 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.
AB - 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.
KW - Capsule endoscopy
KW - mapping
KW - vision-inertial fusion
UR - http://www.scopus.com/inward/record.url?scp=84944128255&partnerID=8YFLogxK
U2 - 10.1109/ICTRC.2015.7156427
DO - 10.1109/ICTRC.2015.7156427
M3 - Conference contribution
AN - SCOPUS:84944128255
T3 - 2015 International Conference on Information and Communication Technology Research, ICTRC 2015
SP - 84
EP - 87
BT - 2015 International Conference on Information and Communication Technology Research, ICTRC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Information and Communication Technology Research, ICTRC 2015
Y2 - 17 May 2015 through 19 May 2015
ER -