Observatorio de I+D+i UPM

Memorias de investigación
Research Project:
HYPERSPRECTAL IMAGING CANCER DETECTION HELICOID
Year:2014
Research Areas
  • Electronic technology and of the communications
Information
Abstract
Starting with some specific types of cancers, this project will try to generalize the methodology to discriminate between healthy and malignant tissues during surgical procedures in real-time. Using the hyperspectral signatures of the healthy tissues and the same tissues affected by cancer, a mathematical model of how cancer affects to the hyperspectral signatures will be derived. The research will start with the challenging task of brain cancer detection. A precise resection of the gliomas will minimize the negative effect of removing brain tissues while assuring an effective tumour resection. The second type of tumours to be analysed will be the lung and breast cancers as they represent the two most common cancers in the world. Based on the experience gained during the evolution of the project and guided by the oncologist expertise, other types of cancer out from the more than 200 that affect human beings will be studied. As cancer supposes a change in the cellular physiology, it should be detected as a change in the hyper-spectral signature. This project will try to determine if there is a certain pattern that could be identified as the cancer hyperspectral signature. Although previous work demonstrates that hyperspectral imaging can be used for certain cancer detection in animals, no application to human beings in real-time surgery has been found. This project will develop an experimental intraoperative setup based on a non-invasive hyperspectral camera connected to a platform running a set of algorithms capable of discriminate between healthy and pathological tissues. This information will be provided, through different display devices to the surgeon, overlapping normal viewing images with simulated colours that will indicate the cancer probability of the tissue presently exposed during every instant of the surgical procedure. A high-efficiency hardware/software prototype will be developed with the aim of recognising different cancer tissues on real time.
International
Si
Project type
Proyectos y convenios en convocatorias públicas competitivas
Company
UE
Entity Nationality
Sin nacionalidad
Entity size
Desconocido
Granting date
09/09/2013
Participants
  • Director: Eduardo Juarez Martinez (UPM)
  • Participante: Matias Javier Garrido Gonzalez (UPM)
  • Participante: Angel Manuel Groba Gonzalez (UPM)
  • Participante: Pedro Jose Lobo Perea (UPM)
  • Participante: Juan Manuel Meneses Chaus (UPM)
  • Participante: Fernando Pescador Del Oso (UPM)
  • Participante: Cesar Sanz Alvaro (UPM)
  • Participante: Ruben Salvador Perea (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Diseño Electrónico y Microelectrónico
  • Centro o Instituto I+D+i: Tecnologías del Software y Sistemas Multimedia para la Sostenibilidad (CITSEM)
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