SWIFT DETECTION OF SPIO LABELED STEM CELLS GRAFTED IN THE MYOCARDIUM

快速检测移植到心肌中的 SPIO 标记干细胞

• 批准号: 8362855
• 负责人: MICHAEL GARWOOD
• 金额: $ 3.03万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-06-01 至 2012-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8362855
• 关键词: Anatomy; Cells; Detection; Dose; Funding; Grant; Heart; Image; Label; Magnetic Resonance Imaging; Methods; Myocardium; NMR Spectroscopy; National Center for Research Resources; Principal Investigator; Research; Research Infrastructure; Resources; Source; Stem cells; United States National Institutes of Health; base; cost; heart imaging; iron oxide; particle

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. The aim of this project is to develop method based on SWIFT for detection of superparamagnetic iron oxide (SPIO) particle-labeled stem cells in biologically relevant doses in the heart. The preliminary ex- vivo imaging of the heart reveals that SWIFT imaginary images present the off-resonant spins as an enhanced (positive) boundary surrounding the region of SPIO-labeled cells while the on-resonant spins are not visible. SWIFT magnitude images provide myocardium anatomies thus eliminating the need for a separate reference image. Such feature of SWIFT facilitates the detection of stem cells compared to the GRE method.

该子项目是利用资源的众多研究子项目之一 由 NIH/NCRR 资助的中心拨款提供。子项目的主要支持 并且子项目的主要研究者可能是由其他来源提供的， 包括其他 NIH 来源。 子项目可能列出的总成本 代表子项目使用的中心基础设施的估计数量， NCRR 赠款不直接向子项目或子项目工作人员提供资金。 该项目的目的是开发基于 SWIFT 的方法，用于检测心脏中生物相关剂量的超顺磁性氧化铁 (SPIO) 颗粒标记的干细胞。心脏的初步离体成像表明，SWIFT 假想图像将非共振自旋呈现为围绕 SPIO 标记细胞区域的增强（正）边界，而共振自旋则不可见。 SWIFT 幅度图像提供心肌解剖结构，从而无需单独的参考图像。与GRE方法相比，SWIFT的这一特点有利于干细胞的检测。