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In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection
2019
IEEE Access
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In this paper, the methodology followed to generate the first hyperspectral database of in-vivo human brain tissues is presented. ...
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
Demo: HELICoiD tool demonstrator for real-time brain cancer detection
2016
2016 Conference on Design and Architectures for Signal and Image Processing (DASIP)
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An in-vivo human brain hyperspectral image data base, obtained at the University Hospital Doctor Negrin in Las Palmas de Gran Canaria, has been employed as input to different supervised classification ...
The goal of this demonstration is to show how the combination of hyperspectral imaging and machine learning can be a potential solution to precise real-time detection of tumor tissues during surgical operations ...
An in-vivo human brain hyperspectral image database has been obtained with the HELICoiD setup from 22 different patients at the University Hospital Doctor Negrin. ...
doi:10.1109/dasip.2016.7853831
dblp:conf/dasip/SalvadorFLOMCJS16
fatcat:m4pc5wef2ncelmigxuqmc4zrgy
In-Vivo and Ex-Vivo Tissue Analysis through Hyperspectral Imaging Techniques: Revealing the Invisible Features of Cancer
2019
Cancers
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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 funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. ...
doi:10.3390/cancers11060756
pmid:31151223
pmcid:PMC6627361
fatcat:wiihkhuvrvf2zjl5c3d4h42uxm
Improving the accuracy of brain tumor surgery via Raman-based technology
2016
Neurosurgical Focus
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In addition, CRS microscopy has been shown to detect tumor in human surgical specimens with near-perfect agreement to standard H & E microscopy. ...
The authors suggest that as the intraoperative application and instrumentation for Raman spectroscopy and imaging matures, it will become an essential component in the neurosurgical armamentarium for identifying ...
Acknowledgments We thank Holly Wagner for manuscript editing. ...
doi:10.3171/2015.12.focus15557
pmid:26926067
pmcid:PMC4992579
fatcat:ywac32hs7bfptjwdza264sj6eu
Intraoperative multispectral and hyperspectral label-free imaging: a systematic review of in vivo clinical studies
2019
Journal of Biophotonics
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Current in-vivo HSI systems generate an intraoperative tissue oxygenation map or enable tumour detection. ...
Multispectral and hyperspectral imaging (HSI) are emerging optical imaging techniques with the potential to transform the way surgery is performed but it is not clear whether current systems are capable ...
, colon [50] , and skin cancer [51] surgery and in vivo fluorescence-based HSI systems have been reported for guiding urological [52] and brain tumour surgery [53] ...
doi:10.1002/jbio.201800455
pmid:30859757
pmcid:PMC6736677
fatcat:k2kqrdni3jgh3kidvhpbi7rwlu
Front Matter: Volume 10069
2017
Multiphoton Microscopy in the Biomedical Sciences XVII
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imaging of GCaMP6-labeled neurons in deep cortex and the
hippocampus of the mouse brain (JenLab Young Investigator Award) [10069-92]
10069 2M
Multimodal optical imaging database from tumour brain ...
Tianyu Wang, Cornell University (United States), "Multimodal optical imaging database from tumor brain human tissue: endogenous fluorescence from glioma, metastasis and control tissues." ...
, Raman, CARS, SRS and CRS microscopy and spectroscopy, single molecule, endoscopy, in vivo/intravital imaging, metabolism measurements including NADH, FAD, tryptophan in cells and tissues, and various ...
doi:10.1117/12.2276744
fatcat:zcpachha45ax5mrenjyrjavw4e
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations
2018
PLoS ONE
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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. ...
Hyperspectral imaging is a noncontact, non-ionizing and non-invasive technique suitable for medical diagnosis. ...
We also thank Paul Grundy and Victoria Wykes, neurosurgeons of the University Hospital of Southampton who helped in this research.
Validation ...
doi:10.1371/journal.pone.0193721
pmid:29554126
pmcid:PMC5858847
fatcat:gbvr7vjnzbgn5nqhi2ebm3u4ny
An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation
2018
Sensors
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In this preliminary study, thematic maps obtained from a validation database of seven hyperspectral images of in vivo brain tissue captured and processed during neurosurgical operations demonstrate that ...
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
Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain
2019
Sensors
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In this work, we present a deep learning-based framework for processing hyperspectral images of in vivo human brain tissue. ...
The proposed framework was evaluated by our human image database, which includes 26 in vivo hyperspectral cubes from 16 different patients, among which 258,810 pixels were labeled. ...
The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results. ...
doi:10.3390/s19040920
fatcat:caw2lpoyyveylg5s625p5xfyhe
Manifold Embedding and Semantic Segmentation for Intraoperative Guidance With Hyperspectral Brain Imaging
2017
IEEE Transactions on Medical Imaging
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Index Terms-Manifold embedding, hyperspectral imaging, semantic segmentation, brain cancer detection. ...
Working with hyperspectral images in vivo, however, is not straightforward as the high dimensionality of the data makes real-time processing challenging. ...
Adam Szolna from the Hospital Doctor Negrín for their valuable contributions. ...
doi:10.1109/tmi.2017.2695523
pmid:28436854
fatcat:2rgiiegzujekbklniz3emdmzqu
Applications of hyperspectral imaging in the detection and diagnosis of solid tumors
2020
Translational Cancer Research
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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. ...
HSI applications in tumor detection The applications of HSI in tumor detection can be categorized into three groups (5, 19, 35) : in vitro imaging for pathological samples, in vivo imaging on shallow ...
doi:10.21037/tcr.2019.12.53
pmid:35117471
pmcid:PMC8798535
fatcat:2to5tff3tnde7jb4jqyccqj3yi
Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach
2020
Sensors
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HSI in twelve in vivo specimens. ...
These results can serve as a basis for brain tumor classification using HSI, and may open future avenues for image-guided neurosurgical applications. ...
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
Hyperspectral imaging solutions for brain tissue metabolic and hemodynamic monitoring: past, current and future developments
2018
Journal of Optics
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Finally, we introduce future perspectives of HSI of brain metabolism, including its potential use for imaging optical signals from molecules directly involved in cellular energy production. ...
Hyperspectral imaging (HSI) technologies have been used extensively in medical research, targeting various biological phenomena and multiple tissue types. ...
also non-invasively in vivo on humans. ...
doi:10.1088/2040-8986/aab3a6
pmid:29854375
pmcid:PMC5964611
fatcat:b3ch45xoazc5vbkakonlltw67q
Classification of Hyperspectral In Vivo Brain Tissue Based on Linear Unmixing
2020
Applied Sciences
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In this study, we address the problem of tissue classification for intraoperative hyperspectral images of in vivo brain tissue. ...
Hyperspectral imaging is a multidimensional optical technique with the potential of providing fast and accurate tissue classification. ...
In [27] , five in vivo brain surface HS images with confirmed grade IV glioblastoma tumor were used for brain cancer detection. ...
doi:10.3390/app10165686
fatcat:5yjl5c5qnbejpcrxqcoo73aule
Front Matter: Volume 9788
2016
Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging
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Please use the following format to cite material from these proceedings: Publication of record for individual papers is online in the SPIE Digital Library. ...
Some conference presentations may not be available for publication. Additional papers and presentation recordings may be available online in the SPIE Digital Library at SPIEDigitalLibrary.org. ...
progression in a mouse model of oral carcinogenesis
[9788-37]
9788 13
Superpixel-based spectral classification for the detection of head and neck cancer with
hyperspectral imaging [9788-38]
9788 ...
doi:10.1117/12.2240426
dblp:conf/mibam/X16
fatcat:msxwbg54kbegriwgvgcw4dnzu4
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