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Title: An intraoperative visualization system using hyperspectral imaging to aid in brain tumor delineation
Authors: Fabelo, Himar 
Ortega, Samuel 
Lazcano, Raquel
Madroñal, Daniel
Callicó, Gustavo M. 
Juárez, Eduardo
Salvador, Rubén
Bulters, Diederik
Bulstrode, Harry
Szolna, Adam
Piñeiro, Juan F.
Sosa, Coralia
O'Shanahan, Aruma J.
Bisshopp, Sara
Hernández, María
Morera, Jesús
Ravi, Daniele
Kiran, B. Ravi
Vega Martínez, Aurelio 
Baez Quevedo, Abelardo 
Yang, Guang-Zhong
Stanciulescu, Bogdan
Sarmiento, Roberto 
UNESCO Clasification: 220921 Espectroscopia
3314 Tecnología médica
Keywords: Hyperspectral imaging instrumentation
Brain cancer detection
Image processing
Issue Date: 2018
Journal: Sensors 
Abstract: 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 captured by sensors. Using this information and a set of complex classification algorithms, it is possible to determine which material or substance is located in each pixel. The work presented in this paper aims to exploit the characteristics of HSI to develop a demonstrator capable of delineating tumor tissue from brain tissue during neurosurgical operations. Improved delineation of tumor boundaries is expected to improve the results of surgery. The developed demonstrator is composed of two hyperspectral cameras covering a spectral range of 400-1700 nm. 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. A labeled dataset comprised of more than 300,000 spectral signatures is used as the training dataset for the supervised stage of the classification algorithm. 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 the system is able to discriminate between normal and tumor tissue in the brain. The results can be provided during the surgical procedure (similar to 1 min), making it a practical system for neurosurgeons to use in the near future to improve excision and potentially improve patient outcomes.
ISSN: 1424-8220
DOI: 10.3390/s18020430
Source: Sensors (Switzerland)[ISSN 1424-8220],v. 18 (430)
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