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
“该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。“光学扩散断层扫描,应用于体内荧光共振能量转移成像Kevin Webb,普渡大学光学传感和成像将继续成为体内医学的重要组成部分。在大多数情况下,光可以用扩散方程来描述,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,可以通过将荧光团靶向癌细胞来实现增强的对比度,并且可以递送靶向抗癌药物。另一种分子成像机会涉及荧光共振能量转移(FRET)参数。FRET已被证明是巨大的价值,在化学运输到细胞和疾病的根本原因的研究,并通过耦合到ODT(FRET-ODT),有机会将这些知识转移到体内研究。虽然在各种ODT模式中已经取得了实质性的进展,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。 这项研究涉及的FRET参数(FRET-ODT)和快速,准确和强大的光学扩散断层成像方法的深层组织成像的方法的发展。Webb小组最近证明,使用严重散射光成像FRET参数是可能的,这一证明正在扩展为体内FRET成像方法。这涉及到一个解决方案的分子内FRET参数与刚性和柔性连接器,被纳入作为未知来源的扩散方程表示供体荧光。多重网格算法正在开发中,并应用于荧光成像和FRET-ODT。一个基于模型的非迭代图像重建方法,已被证明可以大大减少计算时间在初步研究中,被应用到图像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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国内基金
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