Equipment: MRI: Track 2 Acquisition of a Novel Performance-Driven 3D Imaging System for Extremely Noisy Objects (NPIX)

X光机在医学、工程、农业和牙科等各个领域都有广泛的应用。它们用于捕获牙齿、骨骼和半导体芯片等小部件的高质量图像，以进行详细分析。然而，当前的X光机在处理形状复杂的零件时，生成的图像往往具有明显的噪音和较差的分辨率。因此，理解问题和确定潜在的解决方案变得非常具有挑战性。该项目的目标是获得一个先进的系统，以解决这些限制。新型性能驱动的3D成像系统（NPIX）系统将具有增强的能力，以最小的噪声捕获具有复杂几何形状的物体的图像。NPIX系统提供了许多先进的功能，超越了传统的断层扫描和分层成像。NPIX将所需的训练数据集大小显著减少到仅数十或数百张图像，而不是数百万张图像，用于各种研究领域的自动图像分析。由此产生的低噪声图像增强了最先进的AI和深度学习算法，将传统的X射线成像提升到新的高度。因此，该系统成为各种研究和工业应用的宝贵工具。NPIX系统设计为用户友好和易于访问，是教育和培训目的的理想选择。该项目旨在以多种方式利用该系统：1）在全国范围内为校内和校外学生提供访问机会; 2）通过学生科学培训计划（SSTP）将X射线专业知识整合到K-12教育中; 3）与本科生研究教育（REU）和服务奖学金（SFS）计划，Neocity学院合作，让本科生接触X射线技术; 4）为实践培训提供继续教育选择; 5）让本科生和代表性不足的学生参与研究; 6）与少数民族服务机构合作; 7）向当地学校、社区学院和大学的来访者展示该系统，以激励未来的领导者。该项目将涉及从NPIX系统收集大量不同领域的X射线图像。这些资源可以在https://paine-conference.org/resources/上访问。这些共享的资源可以使社区参与不同的领域，并有助于自动化和增强检查和保证流程。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

X-ray machines have found extensive applications in various fields, including medicine, engineering, agriculture, and dentistry. They are utilized to capture high-quality images of small components such as teeth, bones, and semiconductor chips for detailed analysis. However, the current X-ray machines often produce images with significant noise and poor resolution when dealing with intricately shaped parts. Consequently, comprehending the issues and identifying potential solutions becomes exceedingly challenging. The objective of this project is to acquire an advanced system that addresses these limitations. The Novel Performance-Driven 3D Imaging System for Extremely Noisy Objects (NPIX) system will possess enhanced capabilities to capture images of the objects with complex geometries with minimal noise. The NPIX system offers numerous advanced capabilities surpassing conventional tomography and laminography. NPIX significantly reduces the required training dataset size to merely tens or hundreds of images, as opposed to millions, for automated image analysis in various research areas. The resulting low noise images enhance state-of-the-art AI and deep learning algorithms, elevating conventional X-ray imaging to new heights. As a result, this system becomes a valuable tool for a diverse array of research and industrial applications.The NPIX system is designed to be user-friendly and accessible, ideal for educational and training purposes. The project aims to utilize the system in multiple ways: 1) offering access to both on campus and off campus students nationally; 2) integrating X-ray expertise into K-12 education through the student science training program (SSTP); 3) partnering with research education for undergraduates (REU) and scholarship for service (SFS) programs, Neocity academy to expose undergraduate students to X-ray techniques; 4) providing continued education options for practical training; 5) involving undergraduate and underrepresented students in research; 6) collaborating with minority-serving institutions; 7) showcasing the system to visitors from local schools, community colleges and universities to inspire future leaders.The project will involve collecting a large amount of X-ray images from the NPIX system in different fields. These resources can be accessed at https://paine-conference.org/resources/. These shared resources can engage the community in different areas and help automating and enhancing inspection and assurance processes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.