Paper Info
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.
Year
DOI
Venue
2016
10.1109/MWSCAS.2016.7869967
2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS)
Keywords
Field
DocType
trajectory analysis,endoscopic capsule images,GI tract pathologies,lesions,cancer detection,navigation techniques,quality inspection,endoscopic camera,image analysis module,Kalman filter,acceleration profiles,porcine tissue
Computer vision,Endoscopic camera,Computer science,Kalman filter,Cancer detection,Software,Acceleration,Artificial intelligence,Trajectory analysis,Trajectory
Conference
ISSN
ISBN
Citations 
1548-3746
978-1-5090-0917-6
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Yasmeen Abu-Kheil100.34
Marco Mura200.34
Gastone Ciuti37214.89
Paolo Dario42017339.00
Lakmal D. Seneviratne557770.91
Jorge Dias617533.83