Resolution Limits for Fluorescence Tomographic Molecular Imaging

荧光断层分子成像的分辨率限制

• 批准号: 7762091
• 负责人: Xiaofeng Steve Zhang
• 金额: $ 20.7万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-15 至 2013-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7762091
• 关键词: Address; Animals; Architecture; Blood Volume; Computer software; Data; Diffusion; Disease model; Equation; Fluorescence; Goals; Image; Imaging Phantoms; Imaging technology; Light; Lung Neoplasms; Malignant neoplasm of lung; Measurement; Measures; Microscopy; Modeling; Monte Carlo Method; Mus; National Center for Research Resources; Optics; Performance; Personal Computers; Resolution; Resources; Sampling; Signal Transduction; Simulate; Source; Supercomputing; Technology; Universities; base; biomedical resource; cancer imaging; data acquisition; design; detector; diffuse optical tomography; expectation; fluorescence imaging; image reconstruction; improved; in vivo; millimeter; molecular imaging; open source; parallel computing; public health relevance; reconstruction; research study; simulation; software development; supercomputer; tool

DESCRIPTION (provided by applicant): We are proposing studies to determine the resolution limits for fluorescence diffuse optical tomography (FDOT) using over-sampled measurements. It will exploit the combined expertise of two NCRR National Resources: data acquisition using the recently established Molecular Imaging Workbench at the Duke Center for In Vivo Microscopy (CIVM) and image reconstruction using the parallel computing facilities at the Pittsburgh Supercomputer Center (PSC). Specifically, we will be conducting the following studies: (i) Develop a modular open-source software package for FDOT simulations and image reconstruction; (ii) Determine FDOT resolution limits in imaging phantoms; and (iii) Determine the resolution limits with prior anatomical information and apply the technology to lung cancer imaging in mice. PUBLIC HEALTH RELEVANCE (provided by applicant): The goal of this proposal is to investigate the resolution limit in 3D fluorescence imaging for small animals. The effects of anatomical prior information from micro-CT will also be studied. Image reconstruction will be based on a Monte Carlo method using parallel computing on supercomputers.

描述（由申请人提供）：我们正在提出研究，以确定使用过采样测量的荧光漫射光学断层扫描（FDOT）的分辨率限值。它将利用两个NCRR国家资源的综合专业知识：使用最近在杜克中心体内显微镜（CIVM）建立的分子成像系统进行数据采集，并使用匹兹堡超级计算机中心（PSC）的并行计算设施进行图像重建。具体而言，我们将进行以下研究：（i）开发FDOT模拟和图像重建的模块化开源软件包;（ii）确定成像体模中的FDOT分辨率限制;以及（iii）确定先前解剖信息的分辨率限制，并将该技术应用于小鼠肺癌成像。 公共卫生相关性（由申请人提供）：本提案的目的是研究小动物3D荧光成像的分辨率限值。还将研究显微CT的解剖先验信息的影响。图像重建将基于在超级计算机上使用并行计算的蒙特卡罗方法。