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

基本信息

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
项目类别：
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

项目摘要

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.

项目概要：该提案致力于开发、临床实施和评估一种新颖的方法用于生成具有无与伦比的分辨率和信噪比的脑钠图像。贝叶斯图像重建和流形映射技术的结果或最新发展结合起来，可以稳健地利用高分辨率脑部扫描的解剖信息来指导减少低分辨率、低信噪比 (SNR) 脑部扫描带来的部分体积效应。尽管这种“约束重建”方案长期以来一直在 MRI 成像界提倡，他们的计算需求、有限的性能和繁重的操作员输入此前限制了他们的评估和实际表征，从而使它们在一个范围内使用不切实际最近，我们已经证明了分割自由贝叶斯的组合使用。方法与流形映射技术一起可用于提供快速框架解剖引导重建，通常使用高分辨率脑部扫描的信息，提高同时采集的大脑 PET 扫描的空间分辨率和信噪比，从而提高灵敏度我们对这种方法的扩展的初步经验是用于检测大脑中的低对比度病变。大脑的钠 MRI 产生的图像的空间分辨率和信噪比远远超过了以前的水平先前使用高和超高磁场强度实现了这种方法的限制。该提案的主旨是描述其在临床相关病例中的表现。