HELiCoiD

HypErspectraL Imaging Cancer Detection

Coordinatore	UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA    more  Organization address address: Edificio Telecomunicaciones city: LAS PALMAS DE GRAN CANARIA contact info Titolo: Dr. Nome: Gustavo Cognome: Marrero Callico Email: send email Telefono: +34 928451271 Fax: +34 928451083
Nazionalità Coordinatore	Spain [ES]
Totale costo	1˙375˙838 €
EC contributo	992˙758 €
Programma	FP7-ICT Specific Programme "Cooperation": Information and communication technologies
Code Call	FP7-ICT-2013-C
Funding Scheme	CP
Anno di inizio	2014
Periodo (anno-mese-giorno)	2014-01-01   -   2016-12-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA  Organization address address: Edificio Telecomunicaciones city: LAS PALMAS DE GRAN CANARIA contact info Titolo: Dr. Nome: Gustavo Cognome: Marrero Callico Email: send email Telefono: +34 928451271 Fax: +34 928451083	ES (LAS PALMAS DE GRAN CANARIA)	coordinator	0.00
2	ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS  Organization address address: Boulevard Saint-Michel 60 city: PARIS contact info Titolo: Mrs. Nome: Florence Cognome: THEPENIER Email: send email Telefono: +33 1 40 51 93 85	FR (PARIS)	participant	0.00
3	ECOLE NATIONALE SUPERIEURE DES MINES DE PARIS  Organization address address: BOULEVARD SAINT MICHEL 60 city: PARIS contact info Titolo: Mrs. Nome: Florence Cognome: THEPENIER Email: send email Telefono: +33 1 40 51 93 85	FR (PARIS)	participant	0.00
4	FUNDACION CANARIA DE INVESTIGACION Y SALUD  Organization address address: BARRANCO DE LA BALLENA s/n city: LAS PALMAS DE GRAN CANARIA contact info Titolo: Mr. Nome: Jesus Cognome: Morera Molina Email: send email Telefono: +34 928450251 Fax: +34 928450918	ES (LAS PALMAS DE GRAN CANARIA)	participant	0.00
5	GENERAL EQUIPMENT FOR MEDICAL IMAGING SA  Organization address address: CAMINO DE VERA S/N EDIFICIO 9 B CIUDAD POLITECNICA DE LA INN city: VALENCIA contact info Titolo: Ms. Nome: Marta Cognome: Sáiz Email: send email Telefono: 34963722472 Fax: 34963556532	ES (VALENCIA)	participant	0.00
6	IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE  Organization address address: Exhibition Road, South Kensington Campus city: LONDON contact info Titolo: Mr. Nome: Shaun Cognome: Power Email: send email Telefono: +44 207 594 8773 Fax: +44 207 594 8609	UK (LONDON)	participant	0.00
7	MEDTRONIC IBERICA SA  Organization address address: CALLE MARIA DE PORTUGAL 11 city: MADRID contact info Titolo: Ms. Nome: Alejandra Cognome: Guillen Email: send email Telefono: +34 91 33 48797 Fax: +34 91 65 07 430	ES (MADRID)	participant	0.00
8	UNIVERSIDAD POLITECNICA DE MADRID  Organization address address: CALLE RAMIRO DE MAEZTU 7 EDIFICIO RECTORADO city: MADRID contact info Titolo: Prof. Nome: ROBERTO Cognome: PRIETO Email: send email Telefono: +34 91 3366048 Fax: +34 91 3365974	ES (MADRID)	participant	0.00
9	UNIVERSITY HOSPITALS SOUTHAMPTON NHS FOUNDATION TRUST  Organization address address: TREMONA ROAD city: SOUTHAMPTON contact info Titolo: Mr. Nome: Diederik Cognome: Bulters Email: send email Telefono: +44 02380794803 Fax: +44 23 8079 8678	UK (SOUTHAMPTON)	participant	0.00
10	VIRTUAL ANGLE BV  Organization address address: KEYSERSWEY 97 C city: NOORDWIJK ZH contact info Titolo: Mr. Nome: Pedro Cognome: Branco Email: send email Telefono: +31 0650640931	NL (NOORDWIJK ZH)	participant	0.00

Mappa

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 Obiettivo del progetto (Objective)

Starting with some specific types of cancers, this project will try to generalize the methodology to discriminate between healthy and malignant tissues in real-time during surgical procedures. 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 signature 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 cells 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, many 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 a cancer hyperspectral signature. Although previous works 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 non-invasive hyperspectral cameras connected to a platform running a set of algorithms capable of discriminate between healthy or 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 cancer tissues on real time.