CIF: Small: Optical Diffusion Tomography, with Application to in Vivo Fluorescence Resonance Energy Transfer Imaging

CIF：小型：光学扩散断层扫描，应用于体内荧光共振能量转移成像

• 批准号: 0915966
• 负责人: Kevin Webb
• 金额: $ 37.66万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-06-01 至 2013-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0915966&HistoricalAwards=false
• 关键词: CIF; Small; Optical; Diffusion; Tomography

"This award is funded under the American Recovery and Reinvestment Act of 2009(Public Law 111-5)."Optical Diffusion Tomography, with Application to In Vivo Fluorescence Resonance Energy Transfer Imaging Kevin Webb, Purdue UniversityOptical sensing and imaging will continue to become more important for in vivo medicine. In most cases, light can be modeled with a diffusion equation, and the reconstruction of images based on this model is the basis of optical diffusion tomography (ODT). Enhanced contrast can be achieved with targeting of a fluorophore to cancer cells, for example, and targeted anti-cancer drugs can be delivered. Another molecular imaging opportunity involves fluorescence resonance energy transfer (FRET) parameters. FRET has proved to be of immense value in the study of chemical transport into cells and the underlying cause of disease, and by coupling to ODT (FRET-ODT), there is the opportunity to transfer this knowledge to in vivo studies. While substantial progress has been made in various ODT modalities, the achievable resolution and the computational burden impede effective applications. More efficient imaging strategies are thus essential. This research involves the development of a method for deep tissue imaging of FRET parameters (FRET-ODT) and fast, accurate and robust methods for optical diffusion tomography. The recent demonstration by the Webb group that it is possible to image FRET parameters using heavily scattered light is being expanded into a method for imaging FRET in vivo. This involves a solution for the intramolecular FRET parameters with both rigid and flexible linkers that are incorporated as unknown sources in a diffusion equation representation for the donor fluorescence. Multigrid algorithms are being developed and applied to fluorescence imaging and FRET-ODT. A model-based non-iterative image reconstruction method, that has proved to substantially reduce computation time in preliminary studies, is being applied to image FRET kinetic parameters.

该奖项是根据2009年美国复苏和再投资法案(公共法律111-5)。光学扩散层析成像，应用于体内荧光共振能量转移成像凯文·韦伯，普渡大学，光学传感和成像将继续变得更加重要的活体医学。在大多数情况下，光可以用扩散方程来建模，基于该模型的图像重建是光学扩散层析成像(ODT)的基础。例如，通过将荧光团靶向癌细胞，可以实现增强对比度，并且可以提供靶向抗癌药物。另一个分子成像机会涉及荧光共振能量转移(FRET)参数。FRET已被证明在研究化学物质进入细胞和研究疾病的潜在原因方面具有巨大的价值，通过与ODT(FRET-ODT)的耦合，有机会将这一知识转移到体内研究中。虽然在各种ODT模式方面取得了实质性进展，但可实现的分辨率和计算负担阻碍了有效的应用。因此，更有效的成像策略至关重要。这项研究包括开发一种用于FRET参数的深部组织成像方法(FRET-ODT)和快速、准确和稳健的光学扩散层析成像方法。Webb小组最近的演示表明，可以使用强散射光来成像FRET参数，该方法正在扩展为一种在体内成像FRET的方法。这涉及到具有刚性和柔性连接体的分子内FRET参数的解，这些连接体被合并为供体荧光的扩散方程表示中的未知源。多重网格算法正在被开发并应用于荧光成像和FRET-ODT。一种基于模型的非迭代图像重建方法正被应用于图像FRET动力学参数的研究，该方法在初步研究中已被证明可以大大减少计算时间。