Upgrade 3-Tesla MRT

升级 3-Tesla MRI

• 批准号: 463260168
• 金额: --
• 依托单位: Freie Universität Berlin
• 依托单位国家: 德国
• 项目类别: Major Research Instrumentation
• 财政年份: 2021
• 资助国家: 德国
• 起止时间: 2020-12-31 至 无数据
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/463260168?language=en
• 关键词: Upgrade; Tesla; MRT

The Center for Cognitive Neuroscience Berlin (CCNB) at the Department of Education and Psychology of Freie Universität Berlin has been equipped with a 3-Tesla magnetic resonance imaging (MRI) scanner since 2009. The MRI scanner forms a core facility of Freie Universität Berlin enabling outstanding transdisciplinary neurocognitive research between scientists from various disciplines such as psychology, psychiatry, neuro- and human sciences, neurolinguistics and neuroeconomics. To date, about 10,000 subjects have been examined in more than 250 studies by more than 41 research groups from 6 departments with considerable scientific output (~50,000 citations in the last five years). However, rapid developments in neuroimaging and requirements in the field of computational neuroscience, a main focus at CCNB, are pushing the MRI system installed 11 years ago to its performance limits. Neither hardware nor software of the device is state-of-the-art. This concerns the efficiency of the gradient system, the number of independent receiving and excitation channels, the radio frequency (RF) system, the computing power for image reconstruction as well as the software platform, which is no longer supported by the manufacturer. As a result, cutting-edge MRI sequences (such as essential multiband multi-echo sequences or diffusion-weighted imaging) can only be used - if at all - at the limits of the technical specifications with suboptimal parameter settings. Furthermore, the MR technology available today provides crucial improvements in data quality (including a boost in the signal-to-noise ratio and reduction of image distortion) with an increase in spatial and temporal resolution as well as innovations such as the targeted spatial excitation of subareas of the brain. This application is for the upgrade of the MRI at the CCNB to enable the most up-to-date sequences in state-of-the-art functional and structural imaging in continuous operation and to use the newly available MR techniques to ensure international competitiveness in methods. The upgrade is also necessary to enable time-efficient and efficient daily operation (in particular for special populations, e.g., children), and to meet the increasing requirements for scientific collaborations and multicenter studies. The technically and economically most expedient solution is to upgrade the instrument to a stronger gradient system (80 mT/m) with 64-channel RF technology, in which the main magnet remains as is. Still, all other device components are renewed, and the software platform is upgraded to the new generation. Compared to the acquisition of a new device, this upgrade is 50% more cost-efficient.

柏林自由大学教育和心理学系的柏林认知神经科学中心（CCNB）自2009年以来配备了3特斯拉磁共振成像（MRI）扫描仪。MRI扫描仪是柏林自由大学的核心设施，能够在心理学、精神病学、神经科学和人类科学、神经语言学和神经经济学等不同学科的科学家之间进行杰出的跨学科神经认知研究。迄今为止，来自6个部门的41个研究小组在250多项研究中检查了约10，000名受试者，具有相当大的科学产出（在过去五年中引用约50，000次）。然而，神经成像的快速发展和计算神经科学领域的要求，CCNB的主要焦点，正在推动11年前安装的MRI系统达到其性能极限。该设备的硬件和软件都不是最先进的。这涉及梯度系统的效率、独立接收和激励通道的数量、射频（RF）系统、图像重建的计算能力以及软件平台，制造商不再支持这些。因此，最先进的MRI序列（如基本的多波段多回波序列或弥散加权成像）只能在技术规范的限制下使用，参数设置不佳。此外，当今可用的MR技术提供了数据质量的关键改进（包括信噪比的提高和图像失真的减少），提高了空间和时间分辨率以及创新，例如大脑子区域的目标空间激励。该应用程序用于升级CCNB的MRI，以便在连续操作中实现最先进的功能和结构成像中的最新序列，并使用最新可用的MR技术，以确保方法的国际竞争力。升级也是必要的，以实现时间效率和高效的日常运作（特别是对于特殊人群，例如，儿童），并满足日益增长的科学合作和多中心研究的要求。技术上和经济上最有利的解决方案是将仪器升级为具有64通道RF技术的更强梯度系统（80 mT/m），其中主磁体保持不变。尽管如此，所有其他设备组件都已更新，软件平台也已升级到新一代。与购买新设备相比，此次升级的成本效益高出50%。