Explore the words cloud of the QuantMR7 project. It provides you a very rough idea of what is the project "QuantMR7" about.
The following table provides information about the project.
IMAGO 7 FONDAZIONE DI RICERCA ONLUS
|Coordinator Country||Italy [IT]|
|Total cost||180˙277 €|
|EC max contribution||180˙277 € (100%)|
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
|Duration (year-month-day)||from 2016-09-01 to 2018-08-31|
Take a look of project's partnership.
|1||IMAGO 7 FONDAZIONE DI RICERCA ONLUS||IT (CALAMBRONE PISA)||coordinator||180˙277.00|
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.
|year||authors and title||journal||last update|
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|
Guido Buonincontri, Laura Biagi, Alessandra Retico, Paolo Cecchi, Mirco Cosottini, Ferdia A. Gallagher, Pedro A. GÃ³mez, 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 3.0â€¯T
published pages: 362-372, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2019.03.047
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|
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|
Pedro A. GÃ³mez, 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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