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.

该副本是利用资源的众多研究子项目之一 由NIH/NCRR资助的中心赠款提供。对该子弹的主要支持 而且，副投影的主要研究员可能是其他来源提供的 包括其他NIH来源。 列出的总费用可能 代表subproject使用的中心基础架构的估计量， NCRR赠款不直接向子弹或副本人员提供的直接资金。 该项目的目的是基于Swift在心脏中生物学相关剂量中的超顺磁铁（SPIO）颗粒标记的干细胞开发方法。心脏的初步演出成像表明，迅速虚构的图像呈现非谐振的旋转作为围绕Spio标记的细胞区域的增强（正）边界，而在抗谐振的旋转则看不到。迅速的幅度图像提供心肌解剖，从而消除了对单独的参考图像的需求。与GRE方法相比，Swift的这种特征促进了干细胞的检测。