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:
  • 金额:
    $ 57.23万
  • 依托单位:
  • 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

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.
项目摘要: 该建议致力于对新颖方法论的开发,临床实施和评估 用于产生无与伦比的分辨率和信噪比的大脑钠图像。这种方法是 结果或贝叶斯图像重建和歧管映射技术的最新发展 共同使从高分辨率脑扫描中使用解剖信息来指导是可能的 较低分辨率,较低的信噪比(SNR)脑扫描减少部分体积效应。 尽管在MRI成像社区中,这种“约束重建”方案已被长期化了 他们的计算需求,有限的性能和重型操作员的投入以前限制了 评估和实践表征因此使它们不切实际地用于在一个范围内 临床环境。最近,我们已经表明了免费分割贝叶斯的联合使用 与歧管映射技术一起使用的方法可用于为快速的框架提供 在解剖学上引导的重建,该信息通常使用高分辨率的脑部扫描,通常使用 改善同时获得的脑PET扫描的空间分辨率和SNR,从而提高灵敏度 用于检测大脑中低对比度病变。我们最初的这种方法的经验 大脑钠MRI产生了空间分辨率和SNR的图像,远远超过了 以前使用高和超高的磁场强度实现了。建立这种方法的限制 该提案的作用是其在临床相关病例上的表现。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

暂无数据

数据更新时间:2024-06-01

Fernando E Boada的其他基金

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:
    10367650
    10367650
  • 财政年份:
    2022
  • 资助金额:
    $ 57.23万
    $ 57.23万
  • 项目类别:
MR/PET Motion Correction From Coil Fingerprints
根据线圈指纹进行 MR/PET 运动校正
  • 批准号:
    10701911
    10701911
  • 财政年份:
    2020
  • 资助金额:
    $ 57.23万
    $ 57.23万
  • 项目类别:
MR/PET Motion Correction from Coil Fingerprints
根据线圈指纹进行 MR/PET 运动校正
  • 批准号:
    10158486
    10158486
  • 财政年份:
    2020
  • 资助金额:
    $ 57.23万
    $ 57.23万
  • 项目类别:
MR/PET Motion Correction from Coil Fingerprints
根据线圈指纹进行 MR/PET 运动校正
  • 批准号:
    9913234
    9913234
  • 财政年份:
    2020
  • 资助金额:
    $ 57.23万
    $ 57.23万
  • 项目类别:
MR/PET Motion Correction From Coil Fingerprints
根据线圈指纹进行 MR/PET 运动校正
  • 批准号:
    10621093
    10621093
  • 财政年份:
    2020
  • 资助金额:
    $ 57.23万
    $ 57.23万
  • 项目类别:
Ischemic Brain Damage and Single Quantum Sodium MRI
缺血性脑损伤和单量子钠 MRI
  • 批准号:
    10605062
    10605062
  • 财政年份:
    2019
  • 资助金额:
    $ 57.23万
    $ 57.23万
  • 项目类别:
Ischemic Brain Damage and Single Quantum Sodium MRI
缺血性脑损伤和单量子钠 MRI
  • 批准号:
    9926325
    9926325
  • 财政年份:
    2019
  • 资助金额:
    $ 57.23万
    $ 57.23万
  • 项目类别:
Ischemic Brain Damage and Single Quantum Sodium MRI
缺血性脑损伤和单量子钠 MRI
  • 批准号:
    10670743
    10670743
  • 财政年份:
    2019
  • 资助金额:
    $ 57.23万
    $ 57.23万
  • 项目类别:
TR&D 3: Enriching the Data Stream: MR and PET in Concert
TR
  • 批准号:
    9804442
    9804442
  • 财政年份:
    2014
  • 资助金额:
    $ 57.23万
    $ 57.23万
  • 项目类别:
Q-Space Trajectories for Fast Diffusion Spectrum-based High-Definition Fiber Trac
用于基于快速扩散谱的高清光纤轨迹的 Q 空间轨迹
  • 批准号:
    9124951
    9124951
  • 财政年份:
    2014
  • 资助金额:
    $ 57.23万
    $ 57.23万
  • 项目类别:

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  • 财政年份:
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