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Title: Registration of Consecutive Frames From Wireless Capsule Endoscopy for 3D Motion Estimation
Authors: Oliveira, Marina 
Araújo, Helder 
Figueiredo, Isabel N. 
Pinto, Luís 
Curto, Eva 
Perdigoto, Luís 
Keywords: Capsule movement; deep leaning; feature extraction; image-based localization; optical ow; wireless capsule endoscopy
Issue Date: 2021
Project: Project PTDC/EMD-EMD/28960/2017 
FCT Ph.D. Scholarship 2020.06592 
FCT Grant UIDB/0048/2020 
FCT/MCTES Grant UIDB/00324/2020 
Serial title, monograph or event: IEEE Access
Volume: 9
Abstract: Wireless Capsule Endoscopy (WCE) is a non-invasive medical procedure devised for painless in vivo inspection of the gastrointestinal (GI) tract. It is especially valuable for the examination of the small intestine since it is dif cult to reach by traditional endoscopic procedures. The setup includes a camera with an embedded light source and a circuit capable of acquiring and transmitting the video. The main challenge of this technology is the identi cation of the position and trajectory of the capsule as it travels through the GI tract, which is particularly relevant during the detection of anomalies in the tissue. Given only the information provided by the recorded images, it is possible to estimate the 3D motion of the camera capsule and provide a full trajectory reconstruction. A critical yet dif cult step in this process is the image registration between sequential frames. Therefore, being able to determine accurate correspondences between points, regions or features in two consecutive frames is crucial for the computation of the relative rotation and translation of the capsule. This paper comprises a comparative assessment of methodologies to address this problem with a porcine colon dataset obtained with our experimental setup.
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2021.3108234
Rights: openAccess
Appears in Collections:I&D CMUC - Artigos em Revistas Internacionais
I&D ISR - Artigos em Revistas Internacionais
FCTUC Eng.Electrotécnica - Artigos em Revistas Internacionais

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