AN ENABLING TECHNOLOGY FOR PRECLINICAL X-RAY IMAGING OF BIOMATERIALS IN-VIVO

 描述(申请人提供)：本R01申请的目标是开发和评估一种高分辨率X射线相衬(XPC)成像系统和相关的图像重建算法，用于在小动物模型中对生物材料进行体内体积成像。对用于组织工程/再生、药物输送和细胞治疗应用的生物材料的评价和监测的改进的成像方法的需求是巨大的。理想 该方法将提供3D定量信息，具有高空间分辨率(&lt；100微米)，允许组织深度渗透(&gt；5厘米)，并提供组织和材料结构之间的对比，这是评估组织反应和发育所必需的。目前可用的成像方法不能满足这些要求中的一个或多个，这限制了基于生物材料的疗法的发展。此外，这些限制阻碍了其他各种临床前成像应用。对于XPC的高分辨率应用，微焦点X射线管需要与放大几何结构相结合。尽管目前正在积极探索配备源栅的千瓦功率管，用于使用Talbot-Lau干涉仪进行xPC成像，但这种实现方式不能满足在小动物模型和许多其他临床前应用中监测生物材料所需的分辨率要求。尽管近年来致力于使用基于管源的XPC计算机断层扫描(CT)的发展，但该技术仍然受到数据采集时间长和相对较高的辐射剂量的困扰。因此，这项技术还不适合常规的活体动物成像。XPC CT高分辨率应用中采集时间长的主要原因是传统微焦点管的亮度限制，该限制是由阳极靶材的熔点设置的。另一个重要的因素是，优化的断层合成数据获取策略与先进的统计原理图像重建方法相结合的优势尚未得到充分利用。这项拟议的研究直接解决了目前高分辨率XPC成像的局限性，并将允许将其转化为小动物模型中生物材料的体内体积成像。我们的方法在硬件实现和图像重建方法上都有很大的创新。该项目的具体目标如下。目标1：开发和表征基于MetalJet源的XPC断层合成成像仪，用于生物材料的三维监测；目标2：开发先进的图像重建算法，以最大限度地提高图像质量；目标3：通过计算机模拟和成像实验改进成像系统；目标4：验证XPC成像用于临床前动物模型中生物材料的体内体积成像。

 DESCRIPTION (provided by applicant): The objective of this R01 application is to develop and evaluate a high-resolution X-ray phase- contrast (XPC) imaging system and associated image reconstruction algorithms for in-vivo volumetric imaging of biomaterials in small animal models. The need for improved imaging methods for evaluating and monitoring biomaterials for tissue engineering/regeneration, drug delivery, and cell therapies applications is great. The ideal method would provide 3D quantitative information, possess high spatial resolution (<100 µm), allow deep tissue penetration (>5 cm), and provide contrast between tissue and material structures essential for evaluating tissue response and development. Currently available imaging methods fall short in one or more of these requirements and this is currently limiting the development of biomaterial-based therapies. Moreover, these limitations hinder a variety of other preclinical imaging applications. For high-resolution applications of XPC, a microfocus X-ray tube is required in combination with a magnification geometry. Although kW power tubes equipped with source gratings are being actively explored for XPC imaging using a Talbot-Lau interferometer, that implementation does not meet the resolution requirements needed for monitoring biomaterials in small animal models and many other preclinical applications. Despite significant effort devoted in recent years to the development of XPC computed tomography (CT) using tube-based sources, the technology is still plagued by long data-acquisition times and relatively high radiation doses. Accordingly, the technology is not yet suitable for routine live animal imaging. The dominant cause of the long acquisition times in high-resolution implementations of XPC CT is the brightness limitations of conventional microfocus tubes set by the melting point of the anode target material. Another important contributing factor is that the advantages of optimized tomosynthesis data-acquisition strategies coupled with advanced statistically principled image reconstruction methods have not been fully exploited. The proposed research directly addresses the current limitations of high-resolution XPC imaging and will permit its translation for in-vivo volumetric imaging of biomaterials in small animal models. Our approach involves a high degree of innovation regarding both the hardware implementation and image reconstruction methods. The specific aims of the project are as follows. Aim 1: Develop and characterize an XPC tomosynthesis imager based on a MetalJet source for 3D monitoring of biomaterials; Aim 2: Develop advanced image reconstruction algorithms to maximize image quality; Aim 3: Refine the imaging system via computer-simulations and imaging experiments; Aim 4: Validate XPC imaging for in-vivo volumetric imaging of biomaterials in pre-clinical animal models.