Advanced Neuroimaging through Novel Encoding Strategies and Hardware Design

通过新颖的编码策略和硬件设计实现先进的神经成像

• 批准号: 10517507
• 负责人: Berkin Bilgic
• 金额: $ 53.31万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-02-01 至 2024-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10517507
• 关键词: Acceleration; Adolescent; Affect; Air; Anxiety; Area; Boston; Brain; Brain imaging; Brain region; Clinical Research; Cognition; Complement; Computer software; Consumption; Data; Decision Making; Development; Diffusion; Diffusion Magnetic Resonance Imaging; Disease; Dropout; Ear; Echo-Planar Imaging; Emotions; Face; Fiber; Functional Magnetic Resonance Imaging; Head; Health; Human; Image; Inferior; Lead; Left; Lipids; Longitudinal Studies; Magnetic Resonance Imaging; Maps; Memory; Mental Depression; Methods; Modeling; Morphologic artifacts; Neurosciences; Phase; Physiologic pulse; Prefrontal Cortex; Protocols documentation; Resolution; Rest; Rewards; Sampling; Scanning; Semantic memory; Side; Signal Transduction; Slice; Structure; Symptoms; Techniques; Technology; Temporal Lobe; Testing; Time; Tissues; Variant; Work; biobank; connectome; cortico-limbic circuits; cost; design; empowerment; frontal lobe; image warping; imaging biomarker; imaging capabilities; imaging modality; improved; millimeter; neuroimaging; next generation; novel; prevent; reconstruction; reward circuitry; structural imaging; tool

Project Summary/Abstract Recent large-scale studies have employed MRI to gain a deeper understanding of how our brain works in health and disease. Human Connectome Project (HCP) and UK Biobank initiatives use Echo Planar Imaging (EPI) to examine brain connectivity as revealed by functional (fMRI) and diffusion MRI (dMRI). Although EPI empowers neuroscience with the necessary fast encoding, it is plagued by distortion artifacts that severely affect regions with poor B0 field homogeneity, such as the temporal and frontal lobes. While Simultaneous MultiSlice (SMS) imaging is routinely used for more efficient sampling, high MultiBand (MB) factors leave little encoding power in existing acquisition methods for in-plane acceleration. This lets the image distortion remain unchecked to hamper brain regions that regulate decision-making, emotions and semantic memory. Further, neuroimaging protocols often employ inefficient structural imaging scans that consume a large portion of the allotted time, which could have been used for additional fMRI and dMRI sampling. We propose synergistic hardware, acquisition and reconstruction strategies to provide multiplicative gains in image distortion, while mitigating signal voids and T2*-related voxel blurring in EPI. We will design and build a 64-channel “AC/DC” combined receive and shim brain array to provide >2× more uniform B0 field and improved parallel imaging capability. On the pulse sequence side, we will develop “wave-CAIPI” trajectories for EPI and optimally utilize the encoding power of our AC/DC array to push the in-plane acceleration to 5-fold. This will combine multiplicatively with the gain from dynamic shimming to yield >10-fold distortion reduction, while retaining the ability to perform 2-fold SMS acceleration. Even at extreme MB factors (e.g. 8-fold), we will still allow for a >3× reduction in distortion to target hard-to-image regions with fast fMRI. We will also develop “BUDA” acquisition to sample 2-shots of EPI with alternating phase encoding directions, and incorporate a B0 map in the reconstruction to eliminate distortion in high-resolution dMRI. We will build on these technologies and develop a suite of EPI-based quantitative structural imaging scans for whole-brain T1 and T2 parameter mapping with high geometric fidelity at 1mm isotropic resolution in 90 sec. These will empower longitudinal studies and leave more time for fMRI and dMRI acquisitions. Finally, we will validate the improvements in fMRI and dMRI by focusing on the ventromedial prefrontal cortex and the brain reward circuity, both placed in challenging regions due to their proximity to air/tissue interfaces. We will compare the developed rapid T1- and T2-weighted acquisitions against conventional T1- MPRAGE and T2-FSE scans by performing morphometric analysis. We will strive to disseminate our developments to fuel the next generation of neuroimaging projects, simply by plugging in our coil and installing our sequences.

项目总结/摘要 最近的大规模研究已经使用MRI来更深入地了解我们的大脑是如何工作的。 健康和疾病。人类连接组项目（HCP）和英国生物库计划使用回波平面成像 (EPI)通过功能磁共振成像（fMRI）和弥散磁共振成像（dMRI）检查大脑连接。虽然EPI 为神经科学提供了必要的快速编码，但它受到失真伪影的困扰， 影响B 0场均匀性较差的区域，如颞叶和额叶。同时 MultiSlice（SMS）成像通常用于更有效的采样，高多波段（MB）因子几乎不留下 现有的平面内加速获取方法中的编码能力。这使得图像失真仍然存在 不受控制地阻碍大脑中控制决策、情绪和语义记忆的区域。此外，本发明还 神经成像协议通常采用低效的结构成像扫描， 分配的时间，这可能已经用于额外的功能磁共振成像和dMRI采样。 我们提出了协同硬件，采集和重建策略，以提供乘法增益， 图像失真，同时减轻EPI中的信号空洞和T2* 相关体素模糊。我们将设计和建造一个 64-通道“AC/DC”组合接收和匀场脑阵列，提供>2倍更均匀的B 0场， 改进的并行成像能力。在脉冲序列方面，我们将开发“波-CAIPI”轨迹， EPI和最佳利用我们的AC/DC阵列的编码能力，以推动面内加速到5倍。 这将与来自动态匀场的增益相乘地结合联合收割机以产生>10倍的失真减小， 同时保留执行2倍SMS加速的能力。即使在极端的MB因子（例如8倍）下，我们也将 仍然允许失真减少>3倍，以利用快速fMRI靶向难以成像的区域。我们还将开发 “BUDA”采集，以交替相位编码方向对EPI的2次激发进行采样，并结合B 0 重建中的映射，以消除高分辨率dMRI中的失真。我们将在这些技术的基础上 并开发一套基于EPI的全脑T1和T2参数定量结构成像扫描 在90秒内以1 mm各向同性分辨率进行高几何保真度的映射。这些将使纵向 研究，并留出更多的时间进行fMRI和dMRI采集。 最后，我们将通过关注腹内侧前额叶来验证fMRI和dMRI的改进 皮质和大脑奖励回路，由于它们靠近空气/组织，两者都被放置在具有挑战性的区域 接口。我们将比较开发的快速T1和T2加权采集与传统的T1加权采集， 通过进行形态测量分析进行MPPT和T2-FSE扫描。我们将努力传播我们的 开发燃料的下一代神经成像项目，只需插入我们的线圈和安装 我们的序列

项目成果

Comparison of parameter optimization methods for quantitative susceptibility mapping.

• DOI: 10.1002/mrm.28435
• 发表时间: 2021-01
• 期刊: Magnetic resonance in medicine
• 影响因子: 3.3
• 作者: Milovic C;Prieto C;Bilgic B;Uribe S;Acosta-Cabronero J;Irarrazaval P;Tejos C
• 通讯作者: Tejos C