Searched for: subject%3A%22Hyperspectral%255C+imaging%22
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Burström, Gustav (author), Amini, Misha (author), El-Hajj, Victor Gabriel (author), Arfan, Arooj (author), Gharios, Maria (author), Buwaider, Ali (author), Losch, M.S. (author), Manni, Francesca (author), Edström, Erik (author), Terander, Adrian Elmi (author)
Background: In brain tumor surgery, maximal tumor resection is typically desired. This is complicated by infiltrative tumor cells which cannot be visually distinguished from healthy brain tissue. Optical methods are an emerging field that can potentially revolutionize brain tumor surgery through intraoperative differentiation between healthy...
review 2024
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Gholinejad, Saeid (author), Amiri Simkooei, A. (author)
Hyperspectral unmixing (HU), an essential procedure for various environmental applications, has garnered significant attention within remote sensing communities. Among different groups of HU methods, nonnegative matrix factorization (NMF)-based ones have gained widespread popularity due to their high capability of simultaneously extracting...
journal article 2024
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Dieters, Sibren (author)
New mining and exploration projects have revived across Europe with an increasing demand for critical raw materials driven by the energy transition and unstable political conditions. Hyperspectral imaging proves to be an excellent tool for quick and efficient non-invasive mineral exploration. By mounting hyperspectral- and LiDAR sensors on...
master thesis 2023
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van der Wal, Gwyn (author)
The whitening transformation transforms a random matrix into a whitened matrix with expectation 0 and covariance matrix I. By removing the first and second order statistical structures, higher order structures can be looked at for better classification. This is why Stage Gate 11 B.V. has employed whitening in the preprocessing of their...
master thesis 2023
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Perez, S.M. (author), van de Berg, N.J. (author), Manni, Francesca (author), Lai, Marco (author), Rijstenberg, Lucia (author), Hendriks, B.H.W. (author), Dankelman, J. (author), Ewing-Graham, Patricia C. (author), Nieuwenhuyzen, G.M. (author), Van Beekhuizen, Heleen J. (author)
The most important prognostic factor for the survival of advanced-stage epithelial ovarian cancer (EOC) is the completeness of cytoreductive surgery (CRS). Therefore, an intraoperative technique to detect microscopic tumors would be of great value. The aim of this pilot study is to assess the feasibility of near-infrared hyperspectral imaging ...
journal article 2022
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Solé Gómez, J.A. (author), Scandolo, L. (author), Eisemann, E. (author)
Plastic pollution in the sea is an environmental hazard, negatively impacts marine life, and causes economic damage all over the world. It is estimated that each year 8 million tonnes of plastic are deposited in seas, the vast majority coming from rivers. In recent years, publicly available satellite imagery has been used to attempt to track...
journal article 2022
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Khan, Danish (author)
The potato is a plant that can grow from another potato tuber. Farmers and producers have to contend with the declining quality of soil and are producing less vital potato tubers. The differences in emergence speed between batches of the same variety of potato tubers cannot be explained. This is why Project ‘Flight to Vitality’ (FtV) is...
bachelor thesis 2021
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Perez, Sharline (author)
BACKGROUND: Ovarian cancer is the number eight cause of cancer-related mortality in women around the world and has an incidence of more than 295 000 and mortality of almost 158 000. The most important prognostic factor for the survival of advanced-stage ovarian cancer is the complete resection of all microscopic tumour tissue during...
master thesis 2021
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Maria, M. (author), d'Hont, Lieve (author), Anisimov, A. (author), Stols-Witlox, Maartje (author), Groves, R.M. (author)
In this study, we describe a method for measuring the spectral reflectance of a paint layer at both the surface and in the volume of the paint layers. We first present a fringes model which illustrates the possibilities for spectral reconstruction using a Short-Time-Fourier-Transform algorithm. We investigate the remaing percentage errors and...
conference paper 2021
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van Engelenburg, Casper (author)
Proper diagnostics are essential in the combat against severe diseases which mainly have big impacts in remote areas in poor countries. A focus direction within the NC4I group at DCSC, Delft University of Technology, is the development of new imaging modalities and the design and implementation of smarter algorithms for improved detection of...
master thesis 2020
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Lai, Marco (author), Skyrman, Simon (author), Shan, Caifeng (author), Paulussen, Elvira (author), Manni, Francesca (author), Swamy, A. (author), Babic, Drazenko (author), Edstrom, Erik (author), Persson, Oscar (author), Burstrom, Gustav (author), Elmi-Terander, Adrian (author), Hendriks, B.H.W. (author), De With, Peter H.N. (author)
In neurosurgery, technical solutions for visualizing the border between healthy brain and tumor tissue is of great value, since they enable the surgeon to achieve gross total resection while minimizing the risk of damage to eloquent areas. By using real-time non-ionizing imaging techniques, such as hyperspectral imaging (HSI), the spectral...
conference paper 2020
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Maria, M. (author), Anisimov, A. (author), Stols-Witlox, Maartje (author), Groves, R.M. (author)
In this study, we compare the hyperspectral imaging capabilities of a custom-built visible light OCT with those of a commercial grade hyperspectral camera. Using the Short-Time-Fourier-Transform algorithm on the OCT signal, we estimate the variation in the surface spectral response from two paint pigments. Our study aims at comparing the...
conference paper 2020
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Sankararaman, Shyam Prasadh (author)
Hyperspectral imaging (HSI) is a promising imaging modality in medical applications, especially for non-invasive and non-contact disease diagnosis and image-guided surgery. Encoding both spatial and spectral information, it can detect subtle changes in the biochemical and morphological properties of a tissue, revealing the early progression of a...
master thesis 2019
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Dalm, M. (author), Buxton, M.W.N. (author), van Ruitenbeek, F. J.A. (author)
Near-infrared (NIR) and short-wavelength infrared (SWIR) hyperspectral imagery can be used to detect certain alteration minerals. At epithermal deposits, the formation of alteration minerals is, in theory, related to the mineralisation of gold and silver. In order to provide foundations for developing sensor-based sorting applications at a...
journal article 2018
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Desta, F.S. (author), Buxton, M.W.N. (author), van der Werff, Harald (author), Dalm, M. (author)
Sensors are being used as laboratory and in-situ techniques for characterization and definition of raw material properties. However, application of sensor technologies for underground mining resource extraction is very limited and highly dependent on the geological and operational environment. In our study the potential of RGB imaging, Fourier...
abstract 2018
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Dingemans, LM (author), Papadakis, V. (author), Liu, P. (author), Adam, A.J.L. (author), Groves, R.M. (author)
Background<br/>Hyperspectral imaging is a technique that enables the mapping of spectral signatures across a surface. It is most commonly used for surface chemical mapping in fields as diverse as satellite remote sensing, biomedical imaging and heritage science. Existing models, such as the Kubelka-Munk theory and the Lambert-Beer law also...
journal article 2017
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Hosseini Aria, S.E. (author), Menenti, M. (author), Gorte, B.G.H. (author)
Hyperspectral images may be applied to classify objects in a scene. The redundancy in hyperspectral data implies that fewer spectral features might be sufficient for discriminating the objects captured in a scene. The availability of labeled classes of several areas in a scene paves the way for a supervised dimensionality reduction, i.e., using...
journal article 2017
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Hukeri, Meghna (author)
Breast cancer is the most prevalent cancer in women with about 1.7 million new cases reported worldwide in 2012. The two main types of surgical treatment for breast cancer are mastectomy and lumpectomy. In mastectomy, the entire affected breast is excised whereas in lumpectomy only the tumor along with a rim of healthy tissue is excised. This...
master thesis 2017
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Hollstein, Frank (author), Wohllebe, Markus (author), Herling, Martin (author), Cacho, Iñigo (author), Arnaiz, Sixto (author)
A basic step to achieve a holistic recycling process for Construction and Demolition Waste (C&DW) is a relevant improvement in (automatic) sorting technologies. Hyperspectral- Imaging (HSI) is an outstanding candidate to support the process. Currently the biggest challenges with regard to C&DW detection cover the need of overlapping VIS, NIR and...
conference paper 2017
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Groenheide, S. (author)
The St. Austell area (SW England) is known for its high quality and world-class size kaolin deposits and has a long history of kaolin mining. Mining started in the high grade zones. However, in recent years, mining is moving closer to lower grade zones and sees an increase in iron-impurities within the ore. The kaolin mineral assemblage consists...
master thesis 2016
Searched for: subject%3A%22Hyperspectral%255C+imaging%22
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