High SNR Functional Brain Imaging using Oscillating Steady State MRI

使用振荡稳态 MRI 进行高信噪比功能性脑成像

基本信息

批准号：
10409769
负责人：
DOUGLAS C NOLL
金额：
$ 54.14万
依托单位：
UNIVERSITY OF MICHIGAN AT ANN ARBOR
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-30 至 2024-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10409769
关键词：
3-Dimensional Address Aging Alzheimer&apos s Disease Area Biological Markers Blood Brain Brain imaging Brain region Cardiac Communities Cortical Column Data Development Diffusion Electronics Functional Magnetic Resonance Imaging Future Goals Grant Head Image Imaging Techniques Individual Investments Language Link Magnetic Resonance Imaging Major Depressive Disorder Measures Mental disorders Methods Modeling Morphologic artifacts Motion Nature Neurosciences Research Noise Output Physics Physiologic pulse Physiological Population Study Predisposition Process Property RF coil Reproducibility Resolution Respiration Rest Sampling Signal Transduction Site Slice Source Speed Structure System Technology Time Weight base cognitive neuroscience cognitive process cost density human subject image reconstruction imaging approach imaging modality improved instrumentation magnetic field nervous system disorder neuroimaging novel novel strategies physiologic model progression marker prospective public health relevance reconstruction respiratory spatiotemporal temporal measurement tool

项目摘要

Project Summary: High SNR Functional Brain Imaging using Oscillating Steady State MRI Functional brain imaging using MRI (functional MRI or fMRI) has grown rapidly over the past 25 years and is widely used for basic cognitive neuroscience research and for presurgical planning. It is increasingly being used for developing biomarkers for neurological and psychiatric disorders and for population based studies of, for example, normal and abnormal development and aging. There have also been developments in imaging hardware and methods as well as processing methods to correct for artifacts and analyze functional activity. The overarching goal of this project is to develop a novel whole-brain fMRI acquisition approach that improves the SNR by 2- to 3-fold in comparison to the current leading methods. Such a boost is roughly equivalent to the SNR gain one achieves in going from 3T to 7T, but without the additional costs. Our goal is to provide rapid, high SNR, sub-millimeter resolution images with very good temporal resolution. Our approach is fundamentally different that nearly all standard fMRI methods in that is uses a newly discovered source of signal for fMRI that is based on an oscillating steady state approach which reuses magnetization and thus, improves the signal strength. This signal is shown to have contrast weighting that is similar to standard fMRI methods. The oscillations are very reproducible, which will allow the use of model based reconstructions, for example low-rank (LR) methods. A novel LR tensor and acquisition approach based on with a golden-angle rotated variable density acquisition is proposed that, in preliminary data, show a 17-fold speed-up with very low error rates. Together, these methods promise to dramatically improve the signal-to-noise ratio (SNR) of fMRI and allow for higher spatial resolution. The project has four main aims: (1) Analyze and simulate the spin physics of the OSS signal to elucidate the nature of this signal and obtain optimally sensitive and robust acquisition parameters, (2) Develop optimal image acquisition and reconstruction methods for OSS fMRI acquisition. The acquisition and reconstruction strategies are necessarily linked and are unique to the OSS approach, (3) Develop and evaluate methods to address several well-recognized issues associated with fMRI acquisition, notably physiological noise and head motion, and (4) Evaluate the OSS fMRI approach in comparison to state-of-the-art simultaneous multislice (SMS) acquisition methods in phantoms and in human subjects using both task and resting state fMRI. The proposed technology will greatly improve the SNR and spatial resolution for a given set of hardware (main magnetic field strength, RF coils arrays). Higher SNR will allow for more robust fMRI in individual subject, while spatial resolution is important as the functional units (cortical columns) of the brain are 1-2mm and similarly, functionally distinct layers are sub-mm with the distances from input and output layers being about 1mm. Since the methods do not relay on any unique hardware, the method can be widely and quickly disseminated to the neuroimaging community.

项目摘要：使用振荡稳态 MRI 进行高信噪比功能性脑成像使用 MRI 的功能性脑成像（功能性 MRI 或 fMRI）在过去 25 年中发展迅速，并且广泛用于基础认知神经科学研究和术前计划。它越来越被用于开发神经和精神疾病的生物标志物以及基于人群的研究，例如，正常和异常的发育和衰老。成像技术也取得了进展用于纠正伪影和分析功能活动的硬件和方法以及处理方法。该项目的总体目标是开发一种新颖的全脑功能磁共振成像采集方法，以改善与当前领先方法相比，SNR 提高了 2 至 3 倍。这样的提升大致相当于从 3T 到 7T 可以获得 SNR 增益，但无需额外成本。我们的目标是提供快速、高信噪比、亚毫米分辨率图像，具有非常好的时间分辨率。我们的方法是几乎所有标准功能磁共振成像方法都使用新发现的来源，这是根本不同的。 fMRI 信号基于重复使用磁化的振荡稳态方法，因此，提高信号强度。该信号显示出与标准功能磁共振成像类似的对比加权方法。振荡具有很强的可重复性，这将允许使用基于模型的重建，低秩（LR）方法示例。一种基于黄金角的新型LR张量及采集方法提出了旋转可变密度采集，在初步数据中，显示出 17 倍的加速，并且非常低错误率。这些方法共同有望显着提高功能磁共振成像的信噪比 (SNR) 并允许更高的空间分辨率。该项目有四个主要目标：（1）分析和模拟 OSS 信号的自旋物理，以阐明该信号的性质并获得最佳灵敏度和稳健的采集参数，(2) 开发最佳 OSS fMRI 采集的图像采集和重建方法。收购与重建战略是必然相关的，并且是 OSS 方法所独有的，(3) 开发和评估方法解决与功能磁共振成像采集相关的几个公认的问题，特别是生理噪声和头部 (4) 与最先进的同步多层切片相比评估 OSS fMRI 方法 (SMS) 使用任务和静息状态功能磁共振成像在体模和人类受试者中的采集方法。所提出的技术将极大地提高给定硬件集的信噪比和空间分辨率（主要磁场强度、射频线圈阵列）。更高的信噪比将允许对个体受试者进行更稳健的功能磁共振成像，而空间分辨率很重要，因为大脑的功能单元（皮质柱）为 1-2 毫米，类似地，功能不同的层是亚毫米，距输入层和输出层的距离约为 1毫米。由于该方法不依赖于任何独特的硬件，因此该方法可以广泛且快速地推广传播到神经影像界。