U.S.-France Cooperative Research: Tomography in Nondestructive Testing

9873740Sauer这项为期三年的奖项旨在支持美国和法国在信号处理方面的合作研究，参与者包括圣母大学的Kenneth Sauer和巴黎高等电力学院的Ali Mohammad-Djatari。他们的研究目标是发展层析测量和无损图像重建技术。他们将开发缺陷检测和分析的算法，并将重点放在两种算法和建模方法上，用于主要来自x射线数据的三维重建。该项目利用了美国和法国研究人员的互补专业知识以及法国研究人员开发的不同算法和建模方法。无损检测可用于识别和检查有缺陷的物体，这些物体具有从外部看不出来的缺陷。计算机重建算法的设计，是这个项目的主要目标，将某些媒体提取的关键信息转化为可视化。这些算法将在基础设施、运输系统、制造材料以及考古和古生物学对象的检查中发挥作用。

9873740SauerThis three-year award in support of U.S.-France collaborative research in signal processing involves Kenneth Sauer of the University of Notre Dame and Ali Mohammad-Djatari of the Ecole Superieure d' Electricite. The objective of their research is the development of tomographic measurements and nondestructive techniques for image reconstruction. They will develop algorithms for defect detection and analysis and will focus on two algorithmic and modeling approaches for three-dimensional reconstruction from predominately X-ray data. The project takes advantage of the complementary expertise of the US and French investigators and the different algorithmic and modeling approaches developed by the French investigator. Nondestructive testing can be used to identify and inspect defective objects having faults that are not visible from the exterior. The design of computerized reconstruction algorithms, the principal goal of this project, translates critical information extracted by certain media, into visualizations. These algorithms will be useful in the inspection of infrastructure, transportation systems, manufacturing materials, and archeological and paleontological objects.