Image reconstruction techniques in photon counting systems utilizing Cadmium Zinc Telluride (CZT) radiation sensors

利用碲化镉锌 (CZT) 辐射传感器的光子计数系统中的图像重建技术

• 批准号: 528771-2018
• 负责人: Bazalova, Magdalena
• 金额: $ 1.82万
• 依托单位: University of Victoria
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=644844
• 关键词: Image; reconstruction; techniques; photon; counting

We propose to use energy-sensitive x-ray detectors manufactured by Redlen Technologies for non-destructive**material analysis. Through computer simulations and experiments we will find the optimal parameters for**scanning of objects that yield the highest detection sensitivity. In the initial phase of the project, we will focus**on food inspection and provide algorithms for foreign small object detection. The company will benefit from**our theoretical knowledge of image processing algorithms and together we will provide Canadians with**improved food inspection techniques.

我们建议使用Redlen Technologies制造的能量敏感X射线探测器进行非破坏性**材料分析。通过计算机模拟和实验，我们将找到**扫描产生最高检测灵敏度的对象的最佳参数。在项目初期，我们将专注于**食品检测，并为外来小目标检测提供算法。该公司将受益于**我们在图像处理算法方面的理论知识，我们将共同为加拿大人提供**改进的食品检测技术。