Partnership for MR Spectroscopic Imaging Data Processing

描述（由申请人提供）：通过1H磁共振光谱成像（MRSI）测量组织代谢物分布提供了一种敏感的诊断神经成像方式；然而，它在临床环境中仍未得到充分利用。限制这些技术广泛使用的一个要求是需要全面的数据处理程序，这些程序最好地广泛利用先验信息，包括来自MRI的组织和形态分析以及正常代谢物分布的知识。在之前的资助期内，该项目开发了一个集成的软件包，提供全面和自动化的MRI和MRSI处理，包括信号归一化和空间变换，从而能够形成一个参考图像数据库，其中包含MRI观察到的人体代谢物值作为采集，空间和受试者参数的函数。该数据库能够绘制脑代谢物分布，并为个体患者研究的分析提供有价值的规范信息。在本项目期间，这些处理方法将进一步开发，并与三家主要制造商在磁共振仪器上实施的标准化磁共振成像采集协议集成，代谢物数据库将得到扩展，以支持开发的采集协议。因此，该项目将制定标准化的1H MRSI协议，包括跨站点和长期验证和质量控制，这将最大限度地提高MRSI对临床研究的影响，并促进多站点定量代谢成像研究。这些标准化的代谢神经成像方案的有效性将通过在临床研究地点安装一个交钥匙系统来评估，该系统将开发性能指标并获得数据，以测试用于检测个体受试者代谢变化的标准化核磁共振成像方法的敏感性。所有的发展都将免费提供给参与核磁共振成像临床诊断成像应用的研究人员。该项目的生物工程重点领域包括信号和图像处理、MR神经成像序列开发、多参数图像分析方法和网络图像数据库。合作地点是迈阿密大学（领导机构）、加州大学洛杉矶分校、约翰霍普金斯大学、斯坦福大学和杜克大学。这一发展将提高使用磁共振光谱获得的诊断神经影像学信息的质量；通过共享正常受试者的数据来节省成本；建立标准化的代谢成像方法；并绘制人类大脑中代谢物的分布。

DESCRIPTION (provided by applicant): Measurement of tissue metabolite distributions by 1H MR Spectroscopic Imaging (MRSI) provides a sensitive diagnostic neuroimaging modality; however, it remains underutilized in the clinical setting. One requirement that has limited a wider use of these techniques is the need for comprehensive data processing procedures, which optimally make extensive use of prior information, including tissue and morphological analysis from MRI and knowledge of normal metabolite distributions. In the previous funding period this project has developed an integrated software package that provides comprehensive and automated MRI and MRSI processing that includes signal normalization and spatial transformation, thereby enabling formation of a reference image database of MR-observed human metabolite values as a function of acquisition, spatial, and subject parameters. This database enables mapping of brain metabolite distributions and provides valuable normative information for analysis of individual patient studies. In this project period these processing methods will be further developed and integrated with standardized MRSI acquisition protocols implemented on MR instruments from three major manufacturers, and the metabolite database will be expanded to support the developed acquisition protocols. This project will therefore develop standardized 1H MRSI protocols, including cross-site and long-term validation and quality control, that will maximize the impact of MRSI for clinical studies and facilitate multi-site quantitative metabolic imaging studies. The effectiveness of these standardized metabolic neuroimaging protocols will be evaluated by installing a turnkey system at a clinical research site where performance metrics will be developed and data acquired to test the sensitivity of the standardized MRSI methods for detection of metabolic changes in individual subjects. All developments will be made freely available to researchers involved in the application of MRSI for clinical diagnostic imaging. The bioengineering focus areas of this project include signal and image processing, MR neuroimaging sequence development, multiparametric image analysis methods, and networked image databases. The partnership sites are the University of Miami (leading institution), University of California Los Angeles, Johns Hopkins University, Stanford University, and Duke University. This development will improve the quality of the diagnostic neuroimaging information obtained using MR spectroscopy; provide cost savings by sharing data from normal subject; establish standardized metabolic imaging methods; and map metabolite distributions in human brain.