H2020Индивидуална стипендия2016–2018

QuantMR7 · Quantitative MRI of the brain using magnetic resonance fingerprinting

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2016-09-01 → 2018-08-31
Финансиране от ЕС: 180 277 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Магнитният резонанс на мозъка се изследва чрез нов метод за едновременно измерване на физични параметри на тъканите. Това позволява по-бързи изследвания и преминаване от просто описание на снимките към точно количествено определяне на състоянието на органите.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Quantitative MRI of the brain using magnetic resonance fingerprinting

Magnetic Resonance Imaging (MRI) is one of the most important diagnostic imaging techniques, with over 30 Million scans per year in the EU. Alterations in the intrinsic physical tissue parameters measured with 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. In this project, we aimed to build on these novel techniques by demonstrating novel 3D MRF acquisition for imaging the whole brain using optimized acquisitions and reconstructions. We compared different strategies, using new automatic optimization algorithms and iterative reconstructions. In improving imaging technology, research from QuantMR7 has worked towards addressing two significant limitations of current MRI examinations: firstly, the methods developed and demonstrated during the project go towards a quantitative rather than qualitative depiction of image information for radiological assessment and automated feature extraction; secondly, these methods allow for a simultaneous assessment of multiple parameters at once, greatly accelerating MRI examinations.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

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.

Оригинален текст от CORDIS (на английски).

Участници

IMAGO 7 FONDAZIONE DI RICERCA ONLUS · Calambrone PisaКоординаторИталия