PARTNERSHIP FOR MR SPECTROSCOPIC IMAGING DATA PROCESSING

MR 光谱成像数据处理合作伙伴关系

• 批准号: 7096647
• 负责人: Andrew A. Maudsley
• 金额: $ 105.81万
• 依托单位: UNIVERSITY OF MIAMI SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-01 至 2008-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7096647
• 关键词: bioengineering /biomedical engineering; bioimaging /biomedical imaging; biomedical automation; brain imaging /visualization /scanning; brain mapping; computer system design /evaluation; epilepsy; human subject; image processing; information systems; magnetic resonance imaging; neoplasm /cancer; neural degeneration; nuclear magnetic resonance spectroscopy; patient oriented research; statistics /biometry

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.

描述（由申请人提供）：MR 光谱成像 (MRSI) 能够 对许多组织代谢物分布进行非侵入性测量 作为诊断成像技术具有巨大的潜力。广泛 MRSI 的采用受到复杂的数据处理要求的限制 和分析，这最好需要紧密集成已知的光谱和 空间信息，包括 MRI 衍生的组织分割、形态学信息 分析、代谢物 NMR 特征以及正常情况的详细知识 组织代谢分布。该生物医学研究合作伙伴关系将 通过开发一种解决此限制并提高 MRSI 有效性的方法 强调高度自动化的一套集成的数据处理工具 以及常规诊断成像研究的适用性。这项努力将 将 MRSI 和 MRI 数据处理的多个专业领域结合到 5 个以下 项目位于 4 个机构。软件工具将被开发用于 自动化 MRSI 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，多个合作伙伴将分享开发成果 美国、欧洲和日本的医学研究中心，其中包 将评估诊断神经影像应用，重点是 癌症、癫痫和神经退行性疾病的 1H MRSI。结果来自 代谢成像研究将转换为标准化强度单位 并转换为标准化空间坐标，使数据能够 汇集起来形成一个 MR 测量的人体代谢值作为函数的数据库 采集、空间和主题参数。该信息随后将被 用于增强单个 MRSI 研究的统计分析。所开发的 方法将促进更多地使用 MRSI 进行诊断成像，鼓励 标准化 MRSI 采集、处理和分析的开发 方法，并绘制人脑中代谢物分布图。