AUTOMATIC PHOSPHORUS MAGNETIC RESONANCE SPECTROCOPY DATA QUANTIFICATION

自动磷磁共振波谱数据量化

• 批准号: 7955804
• 负责人: XIN WEI WANG
• 金额: $ 0.68万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7955804
• 关键词: Algorithms; Computer Retrieval of Information on Scientific Projects Database; Data; Funding; Grant; Housing; Institution; Magnetic Resonance; Modeling; Phosphorus; Research; Research Personnel; Resources; Signal Transduction; Source; Testing; United States National Institutes of Health; base; computational anatomy; in vivo

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. House built singular value decomposition based automatic baseline separation and signal estimation algorithm is implemented to test on in vivo phosphorus data.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 采用 House 构建的基于奇异值分解的自动基线分离和信号估计算法来测试体内磷数据。