CIF: Small: Optical Diffusion Tomography, with Application to in Vivo Fluorescence Resonance Energy Transfer Imaging
CIF: Small: Optical Diffusion Tomography, with Application to in Vivo Fluorescence Resonance Energy Transfer Imaging
批准号:
0915966
负责人:
Kevin Webb
金额:
$37.66万
依托单位:
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
项目状态:
已结题
起止时间:
2009-06-01 至 2013-05-31
中文摘要
“这项奖励是根据2009年美国复苏和再投资法案(公法111-5)资助的。”光学扩散层析成像在体内荧光共振能量转移成像中的应用凯文·韦伯,普渡大学光学传感和成像将继续在体内医学中变得越来越重要。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(optical diffusion tomography, ODT)的基础。例如,可以通过将荧光团瞄准癌细胞来增强对比,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转运进入细胞和疾病的潜在原因方面具有巨大的价值,并且通过与ODT (FRET-ODT)偶联,有机会将这种知识转移到体内研究中。虽然在各种ODT方式方面取得了重大进展,但可实现的分辨率和计算负担阻碍了有效的应用。因此,更有效的成像策略是必不可少的。本研究涉及FRET参数的深层组织成像方法(FRET- odt)和快速,准确和鲁棒的光学扩散层析成像方法的发展。韦伯小组最近的演示表明,使用重散射光成像FRET参数是可能的,这正在扩展为在体内成像FRET的方法。这涉及到分子内FRET参数的解决方案与刚性和柔性连接,被纳入作为未知源的扩散方程表示供体荧光。正在开发多网格算法并将其应用于荧光成像和FRET-ODT。一种基于模型的非迭代图像重建方法,在初步研究中已被证明大大减少了计算时间,正在应用于图像FRET动力学参数。
英文摘要
"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.
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