PARTNERSHIP FOR MR SPECTROSCOPIC IMAGING DATA PROCESSING

描述(由申请人提供)：磁共振光谱成像(MRSI)使 非侵入性测量许多组织代谢物分布和 作为一种诊断成像技术提供了相当大的潜力。广为传播 由于数据处理的复杂要求，MRSI的采用一直受到限制 和分析，这最佳地需要已知的光谱和 空间信息，包括MRI衍生的组织分割、形态 分析，代谢物核磁共振特征，和正常的详细知识 组织代谢物分布。这一生物医学研究伙伴关系将 解决这一限制并通过开发一种 一套集成的数据处理工具，强调相当大的自动化 以及对常规诊断成像研究的适用性。这一努力将 将MRSI和MRI数据处理的多个领域的专业知识结合到5 项目分布在4个机构。将为以下目标开发软件工具 自动核磁共振成像处理、组织分割、大脑区域映射、 统计分析和临床表现。由此产生的技术 然后，将在协作的多个合作伙伴之间共享发展 美国、欧洲和日本的医学研究中心，那里的一揽子计划 将针对诊断神经成像应用进行评估，重点是 癌症、癫痫和神经退行性疾病的1H磁共振成像。结果来自 代谢物成像研究将转换为标准化的强度单位 并转换成归一化的空间坐标，使数据能够 合并以形成作为函数的MR测量的人体代谢物值的数据库 获取参数、空间参数和主体参数。然后，这些信息将被 用于加强对个别MRSI研究的统计分析。已开发的 方法将促进更多地使用MRSI进行诊断成像，鼓励 标准化磁共振成像采集、处理和分析的发展 方法，绘制人脑代谢物分布图。

DESCRIPTION (provided by applicant): MR Spectroscopic Imaging (MRSI) enables non-invasive measurement of a number of tissue metabolite distributions and offers considerable potential as a diagnostic imaging technique. Widespread adoption of MRSI has been limited by complex requirements for data processing and analysis, which optimally require close integration of known spectral and spatial information, including MRI-derived tissue segmentation, morphological analysis, metabolite NMR characteristics, and detailed knowledge of normal tissue metabolite distributions. This Biomedical Research Partnership will address this limitation and increase the effectiveness of MRSI by developing an integrated set of data processing tools that emphasizes considerable automation and suitability for routine diagnostic imaging studies. This effort will combine multiple areas of expertise in MRSI and MRI data processing under 5 projects located at 4 institutions. Software tools will be developed for automated MRSI processing, tissue segmentation, brain region mapping, statistical analysis, and clinical presentation. The resultant technical developments will then be shared among several partners at collaborating medical research centers in the U.S.A., Europe, and Japan, where the package will be evaluated for diagnostic neuroimaging applications, with an emphasis on 1H MRSI of cancer, epilepsy and neurodegenerative disease. Results from metabolite imaging studies will be converted to standardized intensity units and transformed into normalized spatial coordinates, enabling the data to be pooled to form a database of MR-measured human metabolite values as a function of acquisition, spatial, and subject parameters. This information will then be used to enhance statistical analysis of individual MRSI studies. The developed methods will facilitate increased use of MRSI for diagnostic imaging, encourage the development of standardized MRSI acquisition, processing, and analysis methods, and map metabolite distributions in human brain.