Development of high resolution molecular imaging methods based on fluorescent and photoacoustic contrasts.

开发基于荧光和光声对比度的高分辨率分子成像方法。

• 批准号: 83780773
• 负责人: Professor Dr. Daniel Razansky
• 金额: --
• 依托单位: Department of Information Technology and Electrical Engineering (ITET)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2008
• 资助国家: 德国
• 起止时间: 2007-12-31 至 2013-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/83780773?language=en
• 关键词: Development; resolution; molecular; imaging; methods

Imaging of pathogenesis in intact tissues at the molecular level based on interrogation of cellular and sub-cellular function is increasingly becoming a key technology in preclinical imaging of inflammation responses, early tumor detection and drug discovery and holds strong potential for large-scale clinical propagation as well. There are possibly several imaging approaches that can provide molecular information, but the optical spectrum may offer the most direct information on the molecular interactions in living organism through numerous fluorescence probing mechanisms. The main limitation of the current in-vivo imaging methods of fluorescent molecular probes in the visible and near-infrared is the poor spatial resolution resulting from rapid light diffusion in biological tissues at depths exceeding 1mm. The current project aims in developing new high resolution and high sensitivity molecular imaging methods for reconstruction of fluorescence bio-distribution deep in living tissues based on combination of optical and photoacoustic approaches.

基于对细胞和亚细胞功能的询问在分子水平上对完整组织中的发病机理进行成像正日益成为炎症反应、早期肿瘤检测和药物发现的临床前成像中的关键技术，并且还具有大规模临床传播的强大潜力。可能有几种成像方法可以提供分子信息，但光谱可以通过许多荧光探测机制提供有关活生物体中分子相互作用的最直接信息。目前在可见光和近红外荧光分子探针的体内成像方法的主要限制是由生物组织中超过1mm深度处的快速光漫射导致的差的空间分辨率。本项目旨在开发新的高分辨率和高灵敏度的分子成像方法，用于基于光学和光声方法相结合的活体组织深处荧光生物分布的重建。

项目成果

Accurate Model-Based Reconstruction Algorithm for Three-Dimensional Optoacoustic Tomography

• DOI: 10.1109/tmi.2012.2208471
• 发表时间: 2012-10-01
• 期刊: IEEE TRANSACTIONS ON MEDICAL IMAGING
• 影响因子: 10.6
• 作者: Dean-Ben, X. Luis;Buehler, Andreas;Razansky, Daniel
• 通讯作者: Razansky, Daniel