loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: O. Zenteno 1 ; A. Krebs 2 ; S. Treuillet 1 ; Y. Lucas 1 ; Y. Benezeth 2 and F. Marzani 2

Affiliations: 1 Universite d’Orleans, France ; 2 Univ. Bourgogne Franche-Comté, France

Keyword(s): Gastroendoscopy, Multispectral Imaging, Optical Biopsy.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Device Calibration, Characterization and Modeling ; Image and Video Analysis ; Image Formation and Preprocessing ; Image Registration ; Medical Image Applications

Abstract: Multispectral measurement and analysis have proven to be useful to detect and monitor gastric pathologies at early stages. We developed a multispectral-augmented endoscopic prototype which allows exploration in the visible and near infrared range (400-1000 nm), increasing the common number of bands under analysis. The prototype comprises a fiberscope connected to two multispectral snapshot cameras which is inserted through the instrument channel of a commercial endoscope. However, due to aseptic practices, the system must be sterilized between exams, forcing physicians to remove and reintroduce it on each examination and leading to different relative positions between modalities. In the present work, we introduce an axial displacement correction function for dual-channel registration (i.e., RGB and multispectral) based on the insertion depth of the fiberscope. The performance was assessed using a chessboard pattern and its corner coordinates as ground truth. The mean RMSE error of th e control points after registration using our method was 2.3 ± 0.7 pixels, whereas the RMSE error using a frame by frame homographic registration was 1.2 ± 0.4 pixels. In addition, the technique was tested on mouth exploration samples to simulate in-vivo acquisition. The results reveal that our method provides similar results when compared to a homographic transformation which would be impossible to perform in-vivo. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 13.58.161.115

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Zenteno, O.; Krebs, A.; Treuillet, S.; Lucas, Y.; Benezeth, Y. and Marzani, F. (2018). Dual-channel Geometric Registration of a Multispectral-augmented Endoscopic Prototype. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP; ISBN 978-989-758-290-5; ISSN 2184-4321, SciTePress, pages 75-82. DOI: 10.5220/0006721200750082

@conference{visapp18,
author={O. Zenteno. and A. Krebs. and S. Treuillet. and Y. Lucas. and Y. Benezeth. and F. Marzani.},
title={Dual-channel Geometric Registration of a Multispectral-augmented Endoscopic Prototype},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP},
year={2018},
pages={75-82},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006721200750082},
isbn={978-989-758-290-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP
TI - Dual-channel Geometric Registration of a Multispectral-augmented Endoscopic Prototype
SN - 978-989-758-290-5
IS - 2184-4321
AU - Zenteno, O.
AU - Krebs, A.
AU - Treuillet, S.
AU - Lucas, Y.
AU - Benezeth, Y.
AU - Marzani, F.
PY - 2018
SP - 75
EP - 82
DO - 10.5220/0006721200750082
PB - SciTePress