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

设备： MRI：第 2 道采购新型性能驱动的 3D 成像系统，用于极噪物体 (NPIX)

• 批准号: 2319708
• 负责人: Navid Asadi
• 金额: $ 260万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2319708&HistoricalAwards=false
• 关键词: Equipment; MRI; Track; Acquisition; Novel

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.

X射线机已广泛应用于医学、工程、农业和牙科等各个领域。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 射线机在处理形状复杂的零件时，通常会产生具有明显噪声和分辨率差的图像。因此，理解问题并确定潜在的解决方案变得极具挑战性。该项目的目标是获得一个能够解决这些限制的先进系统。新型性能驱动的极噪物体 3D 成像系统 (NPIX) 系统将具有增强的功能，能够以最小的噪声捕获具有复杂几何形状的物体的图像。 NPIX 系统提供了许多超越传统断层扫描和层析成像的先进功能。 NPIX 将各种研究领域的自动图像分析所需的训练数据集大小显着减少到仅数十或数百张图像，而不是数百万张。由此产生的低噪声图像增强了最先进的人工智能和深度学习算法，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 系统设计用户友好且易于访问，非常适合教育和培训目的。该项目旨在以多种方式利用该系统：1）为全国校内和校外学生提供访问权限； 2) 通过学生科学培训计划 (SSTP) 将 X 射线专业知识融入 K-12 教育； 3) 与 Neocity 学院的本科生研究教育 (REU) 和服务奖学金 (SFS) 计划合作，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) 与少数族裔服务机构合作； 7) 向当地学校、社区学院和大学的参观者展示该系统，以激励未来的领导者。该项目将涉及从不同领域的 NPIX 系统收集大量 X 射线图像。这些资源可以通过 https://paine-conference.org/resources/ 访问。这些共享资源可以吸引不同领域的社区，帮助自动化和加强检查和保证流程。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。