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      Use of Hyperspectral/Multispectral Imaging in Gastroenterology. Shedding Some–Different–Light into the Dark

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          Abstract

          Hyperspectral/Multispectral imaging (HSI/MSI) technologies are able to sample from tens to hundreds of spectral channels within the electromagnetic spectrum, exceeding the capabilities of human vision. These spectral techniques are based on the principle that every material has a different response (reflection and absorption) to different wavelengths. Thereby, this technology facilitates the discrimination between different materials. HSI has demonstrated good discrimination capabilities for materials in fields, for instance, remote sensing, pollution monitoring, field surveillance, food quality, agriculture, astronomy, geological mapping, and currently, also in medicine. HSI technology allows tissue observation beyond the limitations of the human eye. Moreover, many researchers are using HSI as a new diagnosis tool to analyze optical properties of tissue. Recently, HSI has shown good performance in identifying human diseases in a non-invasive manner. In this paper, we show the potential use of these technologies in the medical domain, with emphasis in the current advances in gastroenterology. The main aim of this review is to provide an overview of contemporary concepts regarding HSI technology together with state-of-art systems and applications in gastroenterology. Finally, we discuss the current limitations and upcoming trends of HSI in gastroenterology.

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          Most cited references92

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          Data analysis plays an indispensable role for understanding various phenomena. Cluster analysis, primitive exploration with little or no prior knowledge, consists of research developed across a wide variety of communities. The diversity, on one hand, equips us with many tools. On the other hand, the profusion of options causes confusion. We survey clustering algorithms for data sets appearing in statistics, computer science, and machine learning, and illustrate their applications in some benchmark data sets, the traveling salesman problem, and bioinformatics, a new field attracting intensive efforts. Several tightly related topics, proximity measure, and cluster validation, are also discussed.
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                Author and article information

                Journal
                J Clin Med
                J Clin Med
                jcm
                Journal of Clinical Medicine
                MDPI
                2077-0383
                01 January 2019
                January 2019
                : 8
                : 1
                : 36
                Affiliations
                [1 ]Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), Las Palmas de Gran Canaria 35017, Spain; hfabelo@ 123456iuma.ulpgc.es (H.F.); gustavo@ 123456iuma.ulpgc.es (G.M.C.)
                [2 ]Dept. of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece; diakovidis@ 123456dib.uth.gr
                [3 ]Endoscopy Unit, The Royal Infirmary of Edinburgh, Edinburgh EH16 4SA, UK; akoulaouzidis@ 123456hotmail.com
                Author notes
                [* ]Correspondence: sortega@ 123456iuma.ulpgc.es ; Tel.: +34-928-451-220
                Author information
                https://orcid.org/0000-0002-7519-954X
                https://orcid.org/0000-0002-9794-490X
                https://orcid.org/0000-0002-2248-489X
                https://orcid.org/0000-0002-3784-5504
                Article
                jcm-08-00036
                10.3390/jcm8010036
                6352071
                30609685
                04f5f03e-bddd-48b2-a6a9-fa7f3c7e7bab
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 26 November 2018
                : 26 December 2018
                Categories
                Review

                hyperspectral imaging,multispectral imaging,clinical diagnosis,biomedical optical imaging,gastroenterology,medical diagnostic imaging

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