MEGMRI

Hybrid MEG-MRI Imaging System

 Coordinatore  

 Organization address address: OTAKAARI 1
city: ESPOO
postcode: 2150

contact info
Titolo: Prof.
Nome: Risto
Cognome: Ilmoniemi
Email: send email
Telefono: +358 50 556 2964
Fax: +358 9 4702 3182

 Nazionalità Coordinatore Non specificata
 Sito del progetto http://www.megmri.net/
 Totale costo 68˙540 €
 EC contributo 0 €
 Programma FP7-HEALTH
Specific Programme "Cooperation": Health
 Anno di inizio 2008
 Periodo (anno-mese-giorno) 2008-05-01   -   2012-04-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    AALTO-KORKEAKOULUSAATIO

 Organization address address: OTAKAARI 1
city: ESPOO
postcode: 2150

contact info
Titolo: Prof.
Nome: Risto
Cognome: Ilmoniemi
Email: send email
Telefono: +358 50 556 2964
Fax: +358 9 4702 3182

FI (ESPOO) coordinator 0.00
2    Nome Ente NON disponibile

 Organization address address: STENBACKINKATU 9
city: HELSINKI
postcode: 29

contact info
Titolo: Ms.
Nome: Merja
Cognome: Takala
Email: send email
Telefono: +358 947172023
Fax: +358 947175404

FI (HELSINKI) participant 0.00
3    AIVON OY

 Organization address address: TIETOTIE 3
city: ESPOO
postcode: 2150

contact info
Titolo: Dr.
Nome: Jari Sakari
Cognome: Penttilä
Email: send email
Telefono: -265543

FI (ESPOO) participant 0.00
4    ASSOCIAZIONE FATEBENEFRATELLI PER LA RICERCA BIOMEDICA E SANITARIA

 Organization address address: Via Della Nocetta 263
city: ROME
postcode: 164

contact info
Titolo: Prof.
Nome: Paolo Maria
Cognome: Rossini
Email: send email
Telefono: -6837267
Fax: -6837327

IT (ROME) participant 0.00
5    CEDRAT TECHNOLOGIES SA

 Organization address address: CHEMIN DU VIEUX CHENE 59
city: MEYLAN
postcode: 38240

contact info
Titolo: Ms.
Nome: Line
Cognome: Roux
Email: send email
Telefono: 33476905045
Fax: -381253

FR (MEYLAN) participant 0.00
6    CHALMERS TEKNISKA HOEGSKOLA AB

 Organization address address: -
city: GOETEBORG
postcode: 41296

contact info
Titolo: Ms.
Nome: Ingrid
Cognome: Collin
Email: send email
Telefono: -7721586
Fax: -7728483

SE (GOETEBORG) participant 0.00
7    COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES

 Organization address address: RUE LEBLANC 25
city: PARIS 15
postcode: 75015

contact info
Titolo: Ms.
Nome: Anne
Cognome: Arrigas
Email: send email
Telefono: -69089065
Fax: -69082167

FR (PARIS 15) participant 0.00
8    ELEKTA AB

 Organization address address: Kungstensgatan 18
city: STOCKHOLM
postcode: SE-10393

contact info
Titolo: Dr.
Nome: Antti Ilmari
Cognome: Ahonen
Email: send email
Telefono: -75623661
Fax: -75623662

SE (STOCKHOLM) participant 0.00
9    IMAGING TECHNOLOGY ABRUZZO S.R.L.

 Organization address address: "Via Vetoio, c.o. Dip. STB, University of L'Aquila"
city: L'AQUILA
postcode: 67100

contact info
Titolo: Dr.
Nome: Vittorio
Cognome: Miconi
Email: send email
Telefono: -862412416
Fax: -

IT (L'AQUILA) participant 0.00
10    PHYSIKALISCH-TECHNISCHE BUNDESANSTALT

 Organization address address: Bundesallee 100
city: BRAUNSCHWEIG
postcode: 38116

contact info
Titolo: Ms.
Nome: Maren
Cognome: Jachmann
Email: send email
Telefono: -34817285
Fax: -34817471

DE (BRAUNSCHWEIG) participant 0.00
11    TEKNOLOGIAN TUTKIMUSKESKUS VTT

 Organization address address: TEKNIIKANTIE 4 A
city: ESPOO
postcode: 02044 VTT

contact info
Titolo: Ms.
Nome: Tarja
Cognome: Tuominen
Email: send email
Telefono: -7225023
Fax: -7226674

FI (ESPOO) participant 0.00
12    UNIVERSITA DEGLI STUDI DI PARMA

 Organization address address: VIA UNIVERSITA 12
city: PARMA
postcode: 43100

contact info
Titolo: Dr.
Nome: Franco
Cognome: Ferrari
Email: send email
Telefono: -34366
Fax: -34382

IT (PARMA) participant 0.00
13    UNIVERSITA DEGLI STUDI GABRIELE D'ANNUNZIO DI CHIETI-PESCARA

 Organization address address: Via dei Vestini 31
city: CHIETI
postcode: 66013

contact info
Titolo: Prof
Nome: Gian Luca
Cognome: Romani
Email: send email
Telefono: -3557755
Fax: -3557762

IT (CHIETI) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

contrast    performance    electronics    pacemakers    hybrid    children    scanner    mixed    meg    temperature    accuracy    wished    first    magnetic    megmri    patients    geometric    functional    interference    imaging    images    developers    mri    superconducting    alternative    pregnant    body    resonance    cancer    reduce    magnetoencephalography    enhanced    sensors    diagnosis    quantum    simultaneous    technologies    squids    ultra    brain    anatomical    women    sensor    parallel    human    prototype    neuronal    structural   

 Obiettivo del progetto (Objective)

'We will develop and validate hybrid magnetoencephalography (MEG) and magnetic resonance imaging (MRI) technology that will allow simultaneous structural (MRI) and functional (MEG) imaging of the human brain. MEG is a non-invasive 3D functional imaging with a high temporal resolution compared to other functional imaging but often suffers from a precise structural localization which will be solved by the dual modality approach of the MEGMRI hybrid scanner. In parallel, low field MRI, a new very promising alternative to conventional high field MRI will provide enhanced image contrast in certain applications, improved geometric accuracy, improve safety (for patient with pacemakers and other implants, for pregnant women, for infants), and reduce costs. These new opportunities are based on recent advances in ultra-sensitive magnetic sensors. Superconducting magnetometers based on quantum interference devices (SQUIDs) have been recently used to provide 2D-MRI images at very low fields by two US teams. In parallel, a new type of magnetometer, called mixed sensor, based on spin electronics devices, has been developed within our consortium and used for low-field NMR. The first part of the project will be focused on sensor optimization, and low-field MRI development. This covers the development of field-tolerant SQUIDs and optimized mixed sensors and 3D-MRI low-field hardware and software development. The second part of the project will be devoted to a prototype building with the best kind of sensor and extensive preclinical validation, covering major brain disorders for adults and children. The consortium of MEGMRI has the necessary skills to perform all the tasks: sensor developers, MRI experts, MEG developers and clinical validators. It contains 13 partners from 5 countries including 3 SMEs and one large medical device manufacturer.'

Introduzione (Teaser)

By combining functional and structural imaging technologies, European scientists wished to improve the sensitivity and accuracy of brain imaging. Apart from neuroscience, the resultant hybrid scanner could be used in surgery and cancer diagnosis.

Descrizione progetto (Article)

Magnetoencephalography (MEG) is a three-dimensional (3D) imaging technique that measures the magnetic fields generated by the neuronal signal transmission in the brain. This method can, therefore, map brain activity and generate functional images that could be utilised to study the cognitive and perceptual brain processes.

However, MEG does not offer any structural information, unlike magnetic resonance imaging (MRI) which provides visualisation of soft structures in the body, such as brain and muscle. Ultra-low field (ULF) MRI is a cost-effective alternative to traditional MRI, providing enhanced contrast and improved geometric accuracy of body tissues. Additionally, the low-intensity magnetic field makes the procedure suitable for pregnant women, children and patients with pacemakers.

The EU-funded 'Hybrid MEG-MRI imaging system' (MEGMRI) project wished to combine MEG and MRI technologies to develop a hybrid imaging scanner. This development would allow simultaneous structural and functional imaging of the human brain.

As a first step, the consortium set out to determine the most optimal sensor type for the hybrid scanner. To this end, partners optimised three different sensor types, low temperature and high temperature superconducting quantum interference devices (SQUIDs) as well as mixed sensors based on giant magnetoresistance (GMR). Three systems were produced, each with different sensors, geometry, coil system and electronics.

MEGMRI's final prototype scanner used an array of 72 sensors, significantly improving its performance compared with previously reported devices.

Applications for the project's hybrid scanner could include diagnostics prior to neurosurgery such as resection of tumors or epileptogenic cortex in patients with pharmacoresistant epilepsy. Providing enhanced functional and anatomical images would reduce the need for intraoperative recordings in the future.

Ultra-low-field MRI could also be exploited for cancer diagnosis. Improved anatomical accuracy in combined MEG and MRI studies may improve our understanding of the link between neuronal activity and behavioural performance.

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