SBIR Phase I: An Accurate and Efficient Reconstruction Algorithm for Fast Volumetric X-Ray Computed Tomography (CT)Scanner

SBIR 第一阶段：快速体积 X 射线计算机断层扫描 (CT) 扫描仪的准确高效的重建算法

• 批准号: 9661717
• 负责人: Hui Hu
• 金额: $ 6.9万
• 依托单位: ImagingTech, Incorporated
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-01-01 至 1997-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9661717&HistoricalAwards=false
• 关键词: SBIR; Phase; Accurate; Efficient; Reconstruction

*** 9661717 Hu This Small Business Innovation Research Phase I project will study the problem of reconstructing a three dimensional object from its projections acquired with a large area detector and cone-shaped x-ray beams. This problem is fundamental to the volumetric computerized tomography (CT) scanner development and has not yet been successfully solved. Based on the concept of function decomposition developed by the Principal Investigator, a "hybrid-type" reconstruction algorithm for the circle-and-line scanning orbit, consisting of a circular scan and a linear scan has been explored. In this project, the remaining problems associated with this algorithm will be studied. Specifically, the numerical accuracy and computational efficiency of this algorithm will be further improved by selecting the optimal theoretical formulation and numerical implementation. Furthermore, the algorithm will be extended to handle the object that is taller than the detector. This situation routinely occurs in practice. It will be demonstrated that this hybrid-type algorithm will combine the strengths and eliminate the weakness of existing algorithms and therefore could become the preferable algorithm for cone beam scanner development The successful development of this algorithm will accelerate the commercialization of the fast volumetric CT scanner. With drastic improvement in throughput and volume scanning capability, application of this technology will generate fundamental impacts in the fields of medicine, manufacturing industry, material science and engineering. ***

*** 9661717胡 这个小企业创新研究第一阶段项目将研究从大面积探测器和锥形X射线束获得的投影重建三维物体的问题。这个问题对于体积计算机断层摄影（CT）扫描仪的发展是基本的，并且尚未被成功地解决。 基于主要研究者提出的函数分解的概念，探索了由圆形扫描和线性扫描组成的圆和线扫描轨道的“混合型”重建算法。 在本项目中，将研究与该算法相关的剩余问题。 具体而言，该算法的数值精度和计算效率将进一步提高通过选择最佳的理论公式和数值实现。 此外，该算法将被扩展到处理比检测器高的对象。 这种情况在实践中经常发生。 结果表明，这种混合型算法将联合收割机的优点和消除现有算法的弱点，因此可能成为锥束扫描器开发的首选算法 该算法的成功开发将加速快速容积CT扫描仪的商业化。 随着吞吐量和体积扫描能力的大幅提高，该技术的应用将在医学，制造业，材料科学和工程领域产生根本性的影响。 ***