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在加利福尼亚大学旧金山分校进行前列腺和大脑的极化 C MRI 数据采集和分析。

Hyperpolarized C MRI data acquisition and analysis in prostate and brain at University of California, San Francisco.

机构信息

Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA.

Department of Pharmaceutical Chemistry, University of California, San Francisco, USA.

出版信息

NMR Biomed. 2021 May;34(5):e4280. doi: 10.1002/nbm.4280. Epub 2020 Mar 19.

Abstract

Based on the expanding set of applications for hyperpolarized carbon-13 (HP- C) MRI, this work aims to communicate standardized methodology implemented at the University of California, San Francisco, as a primer for conducting reproducible metabolic imaging studies of the prostate and brain. Current state-of-the-art HP- C acquisition, data processing/reconstruction and kinetic modeling approaches utilized in patient studies are presented together with the rationale underpinning their usage. Organized around spectroscopic and imaging-based methods, this guide provides an extensible framework for handling a variety of HP- C applications, which derives from two examples with dynamic acquisitions: 3D echo-planar spectroscopic imaging of the human prostate and frequency-specific 2D multislice echo-planar imaging of the human brain. Details of sequence-specific parameters and processing techniques contained in these examples should enable investigators to effectively tailor studies around individual-use cases. Given the importance of clinical integration in improving the utility of HP exams, practical aspects of standardizing data formats for reconstruction, analysis and visualization are also addressed alongside open-source software packages that enhance institutional interoperability and validation of methodology. To facilitate the adoption and further development of this methodology, example datasets and analysis pipelines have been made available in the supporting information.

摘要

基于不断扩展的¹³C 超极化(HP-¹³C)MRI 的应用范围,本工作旨在介绍在加利福尼亚大学旧金山分校实施的标准化方法,作为前列腺和大脑代谢成像研究的入门指南。目前在患者研究中使用的最先进的 HP-¹³C 采集、数据处理/重建和动力学建模方法,以及它们使用的基本原理都将呈现出来。本指南围绕基于光谱和成像的方法组织,为处理各种 HP-¹³C 应用提供了一个可扩展的框架,该框架源自两个具有动态采集的示例:人类前列腺的 3D 回波平面波谱成像和人类大脑的频率特异性 2D 多层回波平面波谱成像。这些示例中包含的序列特定参数和处理技术的详细信息,应能使研究人员根据个人用例有效地调整研究。鉴于临床整合对于提高 HP 检查的实用性的重要性,还解决了用于重建、分析和可视化的标准化数据格式的实用方面,以及增强机构互操作性和方法验证的开源软件包。为了促进该方法的采用和进一步发展,已在支持信息中提供了示例数据集和分析管道。

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