Optimizing Information Transfer Characteristics of Tomographic Imaging Systems

优化断层成像系统的信息传输特性

• 批准号: 9024370
• 负责人: Alfred Hero
• 金额: $ 18.5万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-05-01 至 1995-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9024370&HistoricalAwards=false
• 关键词: Optimizing; Information; Transfer; Characteristics; Tomographic

While there are many methods of reconstructing images, there is no current technique that allows a comparison of performance based upon a global performance criterion. This is a proposal to develop techniques that will objectively characterize the quality of reconstruction theoretical techniques that take into account known statistical characteristics of the images. This novel research may result in a way to quantitatively characterize different imaging systems using a global performance criterion. The work has potential practical usefulness since it may lead to the selection of the most cost- effective imaging system for given applications.

虽然有许多重建图像的方法，但目前还没有一种技术允许基于全局性能标准对性能进行比较。这是一项发展技术的建议，该技术将客观地表征重建的质量，理论技术考虑到已知的图像统计特征。​这项新颖的研究可能会导致一种方法，定量表征不同的成像系统使用一个全局性能标准。这项工作具有潜在的实际用途，因为它可能导致选择最具成本效益的成像系统为给定的应用。