Investigación

Publicación (Conferencias y Seminarios)

HELICoiD: Interdisciplinary and collaborative project for real-time brain cancer detection

Salvador, Ruben; Ortega, Samuel; Madroñal Quintín, Daniel; Fabelo, Himar; Lazcano López, Raquel; Callicó, Gustavo M.; Juárez Martínez, Eduardo; Sarmiento, Roberto; Sanz Álvaro, César
Resumen:
The HELICoiD project is a European FP7 FET Open funded project. It is an interdisciplinary work at the edge of the biomedical domain, bringing together neurosurgeons, computer scientists and electronic engineers. The main target of the project was to provide a working demonstrator of an intraoperative image-guided surgery system for real-time brain cancer detection, in order to assist neurosurgeons during tumour resection procedures. One of the main problems associated to brain tumours is its infiltrative nature, which makes complete tumour resection a highly difficult task. With the combination of Hyperspectral Imaging and Machine Learning techniques, the project aimed at demonstrating that a precise determination of tumour boundaries was possible, helping this way neurosurgeons to minimize the amount of removed healthy tissue. The project partners involved, besides different universities and companies, two hospitals where the demonstrator was tested during surgical procedures. This paper introduces the difficulties around brain tumor resection, stating the main objectives of the project and presenting the materials, methodologies and platforms used to propose a solution. A brief summary of the main results obtained is also included.
Áreas de investigación:
Año:
2017
Tipo de publicación:
Conferencias y Seminarios
Palabras clave:
Applied computing; Parallel architectures; Hyperspectral imaging; Machine learning
Organización:
International Conference on Computing Frontiers
DOI:
10.1145/3075564.3076262
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