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Smart Videocapsule for Early Diagnosis of Colorectal Cancer: Toward Embedded Image Analysis

Authors :
Quentin Angermann
Aymeric Histace
Andrea Pinna
Bertrand Granado
Xavier Dray
Olivier Romain
ASTRE [Cergy-Pontoise]
Equipes Traitement de l'Information et Systèmes (ETIS - UMR 8051)
CY Cergy Paris Université (CY)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-CY Cergy Paris Université (CY)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)
Hôpital Lariboisière-APHP
Systèmes Electroniques (SYEL)
Laboratoire d'Informatique de Paris 6 (LIP6)
Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)
Springer
Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY)
Source :
Computational Intelligence in Digital and Network Designs and Applications, Springer. Computational Intelligence in Digital and Network Designs and Applications, 2 (Chapter 12), pp.325-350, 2015, Part 2: Digital, Network Designs and Applications, 978-3-319-20071-2. ⟨10.1007/978-3-319-20071-2_12⟩, Computational Intelligence in Digital and Network Designs and Applications ISBN: 9783319200705
Publication Year :
2015
Publisher :
HAL CCSD, 2015.

Abstract

International audience; For the last 20 years, wireless videocapsule technology has triggered alot of interest in the gastroenterologist community for the non-invasive early detectionof various gastrointestinal pathologies (ulcers, Chrones disease, polyp detection,etc.). Nevertheless, in most of the European countries videocapsules are notyet considered as a systematic valid alternative to classic endoscopies and colonoscopies.Main reasons are in the existing technological limitations of videocapsulesthat are of two kinds: (i) A limited battery life-time (8 hours usually ensured bythe manufacturer) that does not allow a complete imaging of the gastro intestinaltract, and (ii) the limited performance of the device in terms of detection rate of particularstructures like polyps for instance which degenerations are at the origin ofcolorectal cancer. To overpass these limitations, main idea of our work is to developa generation of smart videocapsules that takes advantage of the constant progress inelectronics and most precisely in embedded signal processing tasks. In this Chapter,we give first a detailed overview of the most recent state-of-the-art related tovideocapsules from the technological perspective in order to clearly positioned ourwork among the existing products and on going projects. In a second time, we proposea synthetic recall of the Cyclope project in the framework of which we arestudying different strategies to improve the performance of current videocapsules inthe particular context of the early diagnosis of colorectal cancer (polyp detection).We then propose a particular focus on the design optimization of the proposed algorithms from an electronic perspective. Most precisely, we give concrete elementsand quantitative estimation (time processing, embedding performance, etc.) to showthat embedding of the signal processing IP inside the videocapsule is feasible consideringthe most recent FPGA-platform performance, and that such an integrationcan bring a positive balance in terms of energy consumption by drastically reducingthe amount of transmitted data.

Details

Language :
English
ISBN :
978-3-319-20071-2
978-3-319-20070-5
ISBNs :
9783319200712 and 9783319200705
Database :
OpenAIRE
Journal :
Computational Intelligence in Digital and Network Designs and Applications, Springer. Computational Intelligence in Digital and Network Designs and Applications, 2 (Chapter 12), pp.325-350, 2015, Part 2: Digital, Network Designs and Applications, 978-3-319-20071-2. ⟨10.1007/978-3-319-20071-2_12⟩, Computational Intelligence in Digital and Network Designs and Applications ISBN: 9783319200705
Accession number :
edsair.doi.dedup.....c48e3564f625a5644ed693b07bc036fe
Full Text :
https://doi.org/10.1007/978-3-319-20071-2_12⟩