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QuantMR7

Quantitative MRI of the brain using magnetic resonance fingerprinting

Total Cost €

0

EC-Contrib. €

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Partnership

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 Outcomes and results

 QuantMR7 project word cloud

Explore the words cloud of the QuantMR7 project. It provides you a very rough idea of what is the project "QuantMR7" about.

intrinsic    acquisition    unexplored    accuracy    time    clinical    algorithm    datasets    statistical    volunteer    mr    pediatric    strategy    prompt    reconstruction    contrasts    interaction    relaxation    compare    software    optimized    perform    implicated    infeasible    mrf    units    graphics    exploited    t2    parametric    longitudinal    promise    maps    quantitative    balanced    patient    signs    acquired    transverse    treatment    susceptibility    quantification    mri    3d    image    times    explored    technique    resonance    group    suffered    sensitivity    protocols    single    featuring    relatively    imaging    acceptable    disease    marker    clinically    stage    groups    differences    t1    7t    insensitive    attempts    alterations    sensitive    date    sequence    genetic    bssfp    strategies    healthy    measured    previously    shown    neurological    free    noted    precession    data    imperfections    trajectories    outside    estimation    steady    brain    initial    once    magnetic    psychiatric    dimensional    slow    facilities    tissue    patients    accelerated    fingerprinting    multiple    monitoring    close    efficacy    physical    5t   

Project "QuantMR7" data sheet

The following table provides information about the project.

Coordinator		 IMAGO 7 FONDAZIONE DI RICERCA ONLUS 

Organization address
address: VIALE DEL TIRRENO 331
city: CALAMBRONE PISA
postcode: 56128
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.
 Coordinator Country Italy [IT]
 Total cost 180˙277 €
 EC max contribution 180˙277 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-09-01   to  2018-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IMAGO 7 FONDAZIONE DI RICERCA ONLUS IT (CALAMBRONE PISA) coordinator 180˙277.00

Map

 Project objective

Alterations in the intrinsic physical tissue parameters measured with magnetic resonance imaging (MRI), such as of longitudinal (T1) and transverse (T2) relaxation times, have been implicated in major neurological conditions. Although these differences have been noted as useful signs in image contrasts, parameter quantification has not been exploited as a marker for disease stage or for monitoring treatment efficacy.

Previous attempts to perform quantitative MRI protocols have suffered from sensitivity to system imperfections as well as infeasible, long acquisition times. Recently, a new approach called MR fingerprinting (MRF) has been developed for the estimation of multiple parameters at once, featuring a new dedicated acquisition strategy. The method has shown great promise as data can be acquired in clinically acceptable time, is relatively insensitive to system imperfections and has high accuracy. To date, only two dimensional datasets using a single acquisition strategy (balanced steady state free precession bSSFP) have been explored. Further, this was using a rather slow reconstruction algorithm at 1.5T. In addition, the technique has not been yet applied outside healthy volunteer groups.

In this project we aim to develop a 3D MRF acquisition for imaging the whole brain with optimized acquisition trajectories. We will compare different acquisition strategies, including strategies sensitive to magnetic susceptibility in the brain, previously unexplored. The sequence parameters will be optimized using a dedicated novel genetic algorithm. An accelerated reconstruction software using a novel algorithm will be developed using graphics processing units. Initial data will be acquired with new protocols at 7T and at 1.5T. Statistical parametric maps will be used to investigate group differences. The close interaction with clinical facilities will facilitate the prompt application to patient groups, including neurological, psychiatric and pediatric patients.

 Publications

year authors and title journal last update
List of publications.
2019 Matteo Cencini, Michela Tosetti, Guido Buonincontri
An Aristotelian View on MR-Based Attenuation Correction (ARISTOMRAC): Combining the Four Elements
published pages: 491-497, ISSN: 2469-7311, DOI: 10.1109/trpms.2019.2903593 		IEEE Transactions on Radiation and Plasma Medical Sciences 3/4 2019-09-09
2019 Guido Buonincontri, Laura Biagi, Alessandra Retico, Paolo Cecchi, Mirco Cosottini, Ferdia A. Gallagher, Pedro A. Gómez, Martin J. Graves, Mary A. McLean, Frank Riemer, Rolf F. Schulte, Michela Tosetti, Fulvio Zaccagna, Joshua D. Kaggie
Multi-site repeatability and reproducibility of MR fingerprinting of the healthy brain at 1.5 and 3.0 T
published pages: 362-372, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2019.03.047 		NeuroImage 195 2019-09-09
2019 Matteo Cencini, Laura Biagi, Joshua D. Kaggie, Rolf F. Schulte, Michela Tosetti, Guido Buonincontri
Magnetic resonance fingerprinting with dictionary-based fat and water separation (DBFW MRF): A multi-component approach
published pages: 3032-3045, ISSN: 0740-3194, DOI: 10.1002/mrm.27628 		Magnetic Resonance in Medicine 81/5 2019-09-09
2018 Rolf F. Schulte, Guido Buonincontri, Mauro Costagli, Anne Menini, Florian Wiesinger, Ana Beatriz Solana
Silent T 2 * and T 2 encoding using ZTE combined with BURST
published pages: 2277-2287, ISSN: 0740-3194, DOI: 10.1002/mrm.27552 		Magnetic Resonance in Medicine 81/4 2019-09-09
2019 Pedro A. Gómez, Miguel Molina-Romero, Guido Buonincontri, Marion I. Menzel, Bjoern H. Menze
Designing contrasts for rapid, simultaneous parameter quantification and flow visualization with quantitative transient-state imaging
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-019-44832-w 		Scientific Reports 9/1 2019-09-09

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