Development of the Connectome II MRI Scanner

Connectome II MRI 扫描仪的开发

• 批准号: 10690359
• 负责人: PETER J. BASSER
• 金额: $ 26.69万
• 依托单位: EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10690359
• 关键词: Architecture; Area; Atlases; Axon; BRAIN initiative; Biophysics; Brain; Caliber; Clinical; Data; Development; Diffuse; Diffusion; Diffusion Magnetic Resonance Imaging; Dimensions; Ensure; Experimental Designs; Family; Fractals; Funding; Goals; Grant; Heterogeneity; Human; Image; Infrastructure; Intramural Research Program; Investigation; Laboratories; Magnetic Resonance Imaging; Mathematics; Measures; Methodology; Methods; Microscopic; Modeling; Monitor; Morphologic artifacts; National Institute of Child Health and Human Development; Noise; Performance; Physiologic pulse; Research Personnel; Resolution; Role; Scanning; Side; Signal Transduction; Structure; Techniques; Testing; Time; Tissues; Translating; Transport Process; United States National Institutes of Health; Water; base; brain tissue; clinical implementation; clinical translation; connectome; histological image; image processing; in vivo; magnetic field; mathematical model; novel; organizational structure; physical model; processing speed; prototype; research clinical testing; volunteer; water diffusion

We are developing a novel diffusion MRI-based pulse sequence, acquisition, and signal modeling framework to enable us to "see" or detect fine-scale structures in the living human brain that are three orders of magnitude smaller than the underlying voxel size, and which are currently invisible using clinical MRI techniques. To be concrete, we acquire images with isotropic voxels that are about 1.5 mm on each side, but attempt to observe features of microscopic objects, such as axon diameters and axon diameter distributions, etc., which require a spatial resolution of about 2 microns. One way we accomplish this feat is to develop advanced mathematical/physical models describing the relationship between the observed MR signal and the various microstructural parameters under investigation. It is also important to correct for various artifacts that can blur or corrupt these images, leading to incorrect estimates of imaging quantities. Then, we attempt to infer the biophysical basis of these signals. One method to translate to the Connectome 2.0 is AxCaliber MRI, an approach we invented and developed at the NIH, but which was limited in its resolution on conventional MRI scanners. The new Connectome 2.0 scanner allows one to detect axons with finer axon diameters. Another approach we are migrating is mean apparent propagator (MAP) MRI, a method that measures the net displacement distribution or average propagator of diffusing water molecules in tissue. This provides information about the different microenvironments water finds itself in within living brain tissue. Another approach we translating to the Connectome scanner is Time-Scaling MRI, which entails obtaining Mean Apparent Propagator (MAP) MRI data at different diffusion times. This approach allows us to infer certain features of hierarchical tissue organizations, such as the possible fractal dimension of tissues, that we can exploit to provide mesoscopic and microscale information. We also are investigating various multiple-pulsed field gradient (mPFG) MRI methods for clinical translation, some of which we have previously developed in our lab, which we are extensively vetting, and working to migrate to this powerful new clinical scanning platform. A new mPFG methodology we have been pioneering is a way to estimate the diffusion tensor distribution (DTD) within each voxel, which can be used to study the heterogeneity of water transport processes. This has been greatly enhanced in terms of experimental design, computational speed of processing, and shoring up its mathematical underpinnings. We have also been developing NHP atlases that allow histological image data to be merged and compared with MRI data to enable us to test and vet various MRI methods we develop. In the coming years, much additional vetting and testing will be required to ensure the accuracy and precision of our acquisition and modeling pipelines so that they are ready for clinical implementation and testing in the "out years" of this grant, when the prototype Connectome 2.0 scanner will be completed and ready for scanning of normal volunteers and clinical subjects.

我们正在开发一种新的基于扩散磁共振成像的脉冲序列、采集和信号建模框架，使我们能够“看到”或检测到活着的人脑中比潜在体素大小小三个数量级的细微结构，这些结构目前在临床MRI技术中是不可见的。具体地说，我们获取的图像的各向同性体素每边约1.5 mm，但试图观察微观物体的特征，如轴突直径和轴突直径分布等，这需要大约2微米的空间分辨率。我们完成这一壮举的一种方法是开发高级数学/物理模型，描述观察到的磁共振信号与所研究的各种微结构参数之间的关系。同样重要的是要纠正可能使这些图像模糊或损坏的各种伪像，从而导致对成像量的错误估计。然后，我们试图推断这些信号的生物物理基础。转换到Connectome 2.0的一种方法是AxCaliber MRI，这是我们在NIH发明和开发的一种方法，但它在传统MRI扫描仪上的分辨率有限。新的Connectome 2.0扫描仪允许人们检测轴突直径更细的轴突。我们正在迁移的另一种方法是平均表观传播因子(MAP)MRI，这是一种测量组织中扩散水分子的净位移分布或平均传播因子的方法。这提供了有关水在活体脑组织中所处的不同微环境的信息。我们转换到Connectome扫描仪的另一种方法是时间缩放MRI，它需要获得不同扩散时间的平均表观传播因子(MAP)MRI数据。这种方法使我们能够推断分级组织的某些特征，例如组织可能的分维，我们可以利用这些特征来提供介观和微观信息。我们还在研究用于临床翻译的各种多脉冲场梯度(MPFG)MRI方法，其中一些方法是我们之前在实验室开发的，我们正在进行广泛的审查，并努力移植到这个强大的新临床扫描平台。我们一直在开拓的一种新的mPFG方法是一种估计每个体素内扩散张量分布(DTD)的方法，可以用来研究水传输过程的非均质性。这在实验设计、处理的计算速度和支撑其数学基础方面都得到了极大的提高。我们还一直在开发NHP地图集，允许将组织图像数据合并并与MRI数据进行比较，以使我们能够测试和审查我们开发的各种MRI方法。在接下来的几年里，将需要更多的审查和测试，以确保我们的采集和建模管道的准确性和精确度，以便它们准备好在这笔赠款的“未来几年”用于临床实施和测试，届时Connectome 2.0扫描仪原型将完成并准备好对正常志愿者和临床受试者进行扫描。