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

• 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
• 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' 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

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.

项目概述：高信噪比稳态振荡MRI脑功能成像