MICROPET CHARACTERIZATION AND PRELIMINARY DATA (PHANTOMS AND ANIMALS)

微型宠物特征和初步数据（模型和动物）

• 批准号: 7358261
• 负责人: James Edwin Bowsher
• 金额: $ 1.54万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-07-01 至 2007-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7358261
• 关键词: MICROPET; CHARACTERIZATION; PRELIMINARY; DATA; PHANTOMS

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. Develop radiotracer-image reconstruction methods that use MRI and/or CT images along with microPET projection data to estimate radiotracer distribution. Such methods would substantially improve radiotracer quantification, localization, and detection. These studies are preliminary results for a grant application which, if funded, would enable expanded research on improving small animal radiotracer imaging here at Duke and at other NCI-sponsored SAIRP facilities. Multi-modality imaging of real animals is essential to demonstrate the potential of MRI and/or CT to improve the estimation of realistic, rather than phantom, radiotracer distributions.

该子项目是利用NIH/NCRR资助的中心赠款提供的资源的许多研究子项目之一。子项目和研究者（PI）可能从另一个NIH来源获得主要资金，因此可以在其他CRISP条目中表示。所列机构为中心，不一定是研究者所在机构。开发放射性示踪剂图像重建方法，使用MRI和/或CT图像沿着microPET投影数据来估计放射性示踪剂分布。这样的方法将显著改善放射性示踪剂定量、定位和检测。这些研究是拨款申请的初步结果，如果得到资助，将能够在杜克和其他NCI赞助的SAIRP设施扩大对改善小动物放射性示踪剂成像的研究。 真实的动物的多模态成像对于证明MRI和/或CT的潜力以改善对真实的而不是幻象的放射性示踪剂分布的估计是必不可少的。