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Most Relevant Spectral Bands Identification for Brain Cancer Detection Using Hyperspectral Imaging

Beatriz Martinez, Raquel Leon, Himar Fabelo, Samuel Ortega, Juan F. Piñeiro, Adam Szolna, Maria Hernandez, Carlos Espino, Aruma J. O'Shanahan, David Carrera, Sara Bisshopp, Coralia Sosa (+5 others)
2019 Sensors  
The work presented in this paper aims to identify such relevant spectral ranges in the visual-and-near-infrared (VNIR) region for an accurate detection of brain cancer using in vivo hyperspectral images  ...  The results demonstrate that the proposed methodology based on the genetic algorithm optimization slightly improves the accuracy of the tumor identification in ~5%, using only 48 bands, with respect to  ...  Therefore, for this particular brain cancer detection application, the most relevant spectral ranges identified were: 440. 5 Although this preliminary study achieved a reduction of the information captured  ... 
doi:10.3390/s19245481 pmid:31842410 pmcid:PMC6961052 fatcat:ujxpripembd6nln6mlxhmejbdu

Information Extraction Techniques in Hyperspectral Imaging Biomedical Applications [chapter]

Samuel Ortega, Martin Halicek, Himar Fabelo, Eduardo Quevedo, Baowei Fei, Gustavo Marrero Callico
2020 Multimedia Information Retrieval [Working Title]  
One of the most relevant challenges in medical HSI is the information extraction, where image processing methods are used to extract useful information for disease detection and diagnosis.  ...  Hyperspectral imaging (HSI) is a technology able to measure information about the spectral reflectance or transmission of light from the surface.  ...  This research was supported in part by the Cancer Prevention and Research Institute of Texas (CPRIT) grant RP190588 and the U.S.  ... 
doi:10.5772/intechopen.93960 fatcat:beqkyox6mzhwpg62ncjj2je3ki

In-Vivo and Ex-Vivo Tissue Analysis through Hyperspectral Imaging Techniques: Revealing the Invisible Features of Cancer

Martin Halicek, Himar Fabelo, Samuel Ortega, Gustavo M. Callico, Baowei Fei
2019 Cancers  
The most relevant, state-of-the-art studies that can be found in the literature using HSI for cancer analysis are presented and summarized, both in-vivo and ex-vivo.  ...  In this review, the use of HSI as an imaging tool for the analysis and detection of cancer is presented. The basic concepts related to this technology are detailed.  ...  The use of high spectral resolution HS cameras for cancer analysis allows researchers to study in detail the optical properties of the tissues, identifying the most relevant spectral channels that are  ... 
doi:10.3390/cancers11060756 pmid:31151223 pmcid:PMC6627361 fatcat:wiihkhuvrvf2zjl5c3d4h42uxm

Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations

Himar Fabelo, Samuel Ortega, Daniele Ravi, B. Ravi Kiran, Coralia Sosa, Diederik Bulters, Gustavo M. Callicó, Harry Bulstrode, Adam Szolna, Juan F. Piñeiro, Silvester Kabwama, Daniel Madroñal (+11 others)
2018 PLoS ONE  
Surgery for brain cancer is a major problem in neurosurgery. The diffuse infiltration into the surrounding normal brain by these tumors makes their accurate identification by the naked eye difficult.  ...  However, the identification of the tumor boundaries during surgery is challenging. Hyperspectral imaging is a noncontact, non-ionizing and non-invasive technique suitable for medical diagnosis.  ...  In-vivo human brain hyperspectral image database A set of five in-vivo brain surface HS images, captured using the previously described acquisition system, has been used for this research.  ... 
doi:10.1371/journal.pone.0193721 pmid:29554126 pmcid:PMC5858847 fatcat:gbvr7vjnzbgn5nqhi2ebm3u4ny

Gastric cancer diagnosis using hyperspectral imaging with principal component analysis and spectral angle mapper

Ningliang Liu, Yaxiong Guo, Houmin Jiang, Weisong Yi
2020 Journal of Biomedical Optics  
Near-infrared hyperspectral imaging (NIR-HSI) (900 to 1700 nm) with the help of chemometrics was investigated for gastric cancer diagnosis.  ...  Hyperspectral imaging (HSI) is an emerging optical technique that has a double function of spectroscopy and imaging.  ...  The wavelength selection algorithm based on the recursive divergence method was used to identify the most relevant wavelengths in the spectral range employed.  ... 
doi:10.1117/1.jbo.25.6.066005 pmid:32594664 pmcid:PMC7320226 fatcat:6oqcirjzyzea7o6isd4soxidyy

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection

Himar Fabelo, Samuel Ortega, Adam Szolna, Diederik Bulters, Juan F. Pineiro, Silvester Kabwama, Aruma J-O'Shanahan, Harry Bulstrode, Sara Bisshopp, B. Ravi Kiran, Daniele Ravi, Raquel Lazcano (+16 others)
2019 IEEE Access  
The use of hyperspectral imaging for medical applications is becoming more common in recent years.  ...  All the hyperspectral data has been made available in a public repository. INDEX TERMS Hyperspectral imaging, cancer detection, biomedical imaging, medical diagnostic imaging, image databases.  ...  Fabelo et al.: In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection  ... 
doi:10.1109/access.2019.2904788 fatcat:d2jcmy6qvveozbdyvyvcvhqx4q

Applications of hyperspectral imaging in the detection and diagnosis of solid tumors

Yating Zhang, Xiaoqian Wu, Li He, Chan Meng, Shunda Du, Jie Bao, Yongchang Zheng
2020 Translational Cancer Research  
Hyperspectral imaging (HSI) is an emerging new technology in solid tumor diagnosis and detection.  ...  In particular, the advantages of HSI applied to solid tumors are highlighted to show its potential for clinical use.  ...  A broader spectral band and higher spectral resolution provide richer information for tumor diagnosis and detection.  ... 
doi:10.21037/tcr.2019.12.53 pmid:35117471 pmcid:PMC8798535 fatcat:2to5tff3tnde7jb4jqyccqj3yi

An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation

Himar Fabelo, Samuel Ortega, Raquel Lazcano, Daniel Madroñal, Gustavo M. Callicó, Eduardo Juárez, Rubén Salvador, Diederik Bulters, Harry Bulstrode, Adam Szolna, Juan Piñeiro, Coralia Sosa (+11 others)
2018 Sensors  
Hyperspectral imaging (HSI) allows for the acquisition of large numbers of spectral bands throughout the electromagnetic spectrum (within and beyond the visual range) with respect to the surface of scenes  ...  Furthermore, a hardware accelerator connected to a control unit is used to speed up the hyperspectral brain cancer detection algorithm to achieve processing during the time of surgery.  ...  Acknowledgments: This work has been supported in part by the European Commission through the FP7 FET Open Programme ICT-2011.9.2 European Project HELICoiD "HypErspectral Imaging Cancer Detection" under  ... 
doi:10.3390/s18020430 pmid:29389893 pmcid:PMC5856119 fatcat:gsvrung6qvda5cleevhunggqnu

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

Samuel Ortega, Himar Fabelo, Dimitris K. Iakovidis, Anastasios Koulaouzidis, Gustavo M. Callico
2019 Journal of Clinical Medicine  
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.  ...  HSI has demonstrated good discrimination capabilities for materials in fields, for instance, remote sensing, pollution monitoring, field surveillance, food quality, agriculture, astronomy, geological mapping  ...  Gastric Cancer Identification Other relevant research where HSI is used to study GI diseases can be found in [75] , where the authors describe the use of HSI for detecting human gastric cancer.  ... 
doi:10.3390/jcm8010036 pmid:30609685 pmcid:PMC6352071 fatcat:ww3erwazhveqthxfjya27tg3fq

Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach

Francesca Manni, Fons van der Sommen, Himar Fabelo, Svitlana Zinger, Caifeng Shan, Erik Edström, Adrian Elmi-Terander, Samuel Ortega, Gustavo Marrero Callicó, Peter H. N. de With
2020 Sensors  
These results can serve as a basis for brain tumor classification using HSI, and may open future avenues for image-guided neurosurgical applications.  ...  The proposed framework consists of a 3D–2D hybrid CNN-based approach to create a joint extraction of spectral and spatial information from hyperspectral images.  ...  In Vivo Human-Brain HS Dataset Within the context of the European project HELICoiD (HypErspectraL Imaging Cancer Detection) (Grant Agreement 618080), an in vivo human-brain HS database was collected, consisting  ... 
doi:10.3390/s20236955 pmid:33291409 fatcat:qiko5t64u5gxtpshtt6in2tpt4

Trends in Deep Learning for Medical Hyperspectral Image Analysis

Uzair Khan, Sidike Paheding, Colin Elkin, Vijay Devabhaktuni
2021 IEEE Access  
[56] Blood stain classification with hyperspectral imaging and deep neural networks [54] Hyperspectral imaging for glioblastoma surgery: improving tumor identification using a deep spectral-spatial  ...  Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection [69] Hyperspectral imaging for skin feature detection: advances in markerless tracking for spine surgery  ... 
doi:10.1109/access.2021.3068392 fatcat:mxse6n6f7bbbrognlnbzponr7u

Sensors, Signal and Image Processing in Biomedicine and Assisted Living

Dimitris K. Iakovidis
2020 Sensors  
Sensor technologies are crucial in biomedicine, as the biomedical systems and devices used for screening and diagnosis rely on their efficiency and effectiveness [...]  ...  , and the editorial staff of Sensors journal for their continuous support during the issue development.  ...  Acknowledgments: The Guest Editor would like to thank all the authors for their contributions to this special issue, the referees, who have timely and professionally performed the peer-reviews of all articles  ... 
doi:10.3390/s20185071 pmid:32906653 fatcat:pudinucmvrglvnud56wql6ipty

Detecting brain tumor in pathological slides using hyperspectral imaging

Samuel Ortega, Himar Fabelo, Rafael Camacho, María de la Luz Plaza, Gustavo M. Callicó, Roberto Sarmiento
2018 Biomedical Optics Express  
Hyperspectral imaging (HSI) is an emerging technology for medical diagnosis.  ...  Randeberg, "Detection of hypercholesterolemia using hyperspectral imaging of human skin," in Clinical and Biomedical Spectroscopy and Imaging IV, J. Q.  ...  For this purpose, a  ... 
doi:10.1364/boe.9.000818 pmid:29552415 pmcid:PMC5854081 fatcat:kbnyetmj7jcrdhzogy26jboefy

Medical hyperspectral imaging: a review

Guolan Lu, Baowei Fei
2014 Journal of Biomedical Optics  
Hyperspectral imaging (HSI) is an emerging imaging modality for medical applications, especially in disease diagnosis and image-guided surgery.  ...  This review paper presents an overview of the literature on medical hyperspectral imaging technology and its applications.  ...  (NIH P50CA128613), and Emory Molecular and Translational Imaging Center (NIH P50CA128301).  ... 
doi:10.1117/1.jbo.19.1.010901 pmid:24441941 pmcid:PMC3895860 fatcat:oqkqz2l2d5bala25xqbezlaeri

An outlook: machine learning in hyperspectral image classification and dimensionality reduction techniques

Tatireddy Reddy, Jonnadula Harikiran
2022 Journal of Spectral Imaging  
Hyperspectral imaging is used in a wide range of applications.  ...  Moreover, this paper shows the effectiveness of all these techniques for hyperspectral image classification and dimensionality reduction.  ...  The identification of distinct pixels in the hyperspectral image sequence is required for HSI classification. The spectral information is contained in this image series.  ... 
doi:10.1255/jsi.2022.a1 fatcat:rue5klkmlfcrzftepc6lzfcbfe
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