Anatomically Guided Sodium MRI: Accurately Monitoring Chronic Ion Pump Dysfunction in the Human Brain

解剖引导钠 MRI：准确监测人脑中的慢性离子泵功能障碍

• 批准号: 10612761
• 负责人: Fernando E Boada
• 金额: $ 57.23万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-01 至 2026-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10612761
• 关键词: Address; Advocate; Anatomy; Bayesian Method; Biochemical; Biological Markers; Brain; Brain Neoplasms; Brain imaging; Brain scan; Cell Nucleus; Central Nervous System; Central Nervous System Diseases; Cerebrospinal Fluid; Chronic; Clinical; Clinical Protocols; Communities; Coupling; Data; Detection; Development; Diagnosis; Energy Metabolism; Environment; Evaluation; Excision; Functional disorder; Generations; Goals; Homeostasis; Human; Image; Intervention; Ion Pumps; Lesion; MRI Scans; Magnetic Resonance Imaging; Maps; Measures; Methodology; Monitor; Na(+)-K(+)-Exchanging ATPase; Nature; Noise; Pathologic; Pathology; Patients; Performance; Positron-Emission Tomography; Property; Protocols documentation; Protons; Relaxation; Research; Resolution; Scheme; Signal Transduction; Slice; Sodium; System; Techniques; Tissues; Validation; brain tissue; clinical implementation; clinically relevant; data acquisition; detection sensitivity; experience; follow-up; gray matter; human imaging; image reconstruction; imaging system; improved; in vivo; magnetic field; neuroimaging; novel; novel strategies; reconstruction; research clinical testing; sodium ion; success; tissue biomarkers; white matter

PROJECT SUMMARY: This proposal is devoted to the development, clinical implementation and evaluation of a novel, methodology for generating brain sodium images of unparalleled resolution and signal-to-noise-ratio. This methodology is a result or recent developments in Bayesian image reconstruction and manifold mapping techniques that together make it possible to robustly utilize anatomical information from high-resolution brain scans to guide the reduction of partial voluming effects from lower resolution, lower signal-to-noise ratio (SNR) brain scans. Though such “constrained reconstruction” schemes have been long-advocated in the MRI imaging community, their computational demands, limited performance and heavy operator input had previously limited their evaluation and practical characterization thus rendering them impractical for use within the confines of a clinical environment. Recently, we have shown that the combined use of segmentation free Bayesian approaches together with manifold mapping techniques can be used to provide a fast framework for Anatomically Guided Reconstruction where the information form high-resolution brain scans is used, routinely, to improve spatial resolution and SNR of concurrently acquired brain PET scans leading to improved sensitivity for the detection of low-contrast lesions in the brain. Our initial experience with extensions of this approach for sodium MRI of the brain has produced images of spatial resolution and SNR that far exceed what had been previously achieved using high and ultra-high magnetic field strengths. Establishing the limits of this approach and characterizing its performance on clinically relevant cases is the thrust of this proposal.

项目总结： 这项建议致力于一种新的方法学的开发、临床实施和评估。 用于生成具有无与伦比的分辨率和信噪比的脑钠图像。这种方法是一种 贝叶斯图像重建和流形映射技术的结果或最新发展 两者共同使人们有可能有力地利用来自高分辨率脑扫描的解剖信息来指导 降低低分辨率、低信噪比(SNR)脑扫描的部分体积效应。 尽管在MRI成像界中长期提倡这种“约束性重建”方案， 它们的计算要求、有限的性能和繁重的操作员输入以前限制了它们的 评估和实际表征，从而使它们不适用于在 临床环境。最近，我们已经证明了组合使用分割自由贝叶斯 方法与多种映射技术一起可用于提供快速框架 解剖学指导的重建，其中来自高分辨率脑扫描的信息被常规使用， 为了提高同时获得的脑PET扫描的空间分辨率和信噪比，从而提高灵敏度 用于检测大脑中的低对比度病变。我们将此方法扩展到 脑部的钠核磁共振成像产生的空间分辨率和信噪比远远超过了过去 以前使用高磁场和超高磁场强度实现的。确定这种方法的局限性 而在临床相关病例中表征其表现是这项提议的主旨。