Incomplete Inverse Problems in Nondestructive Testing and Imaging with Penetrating Radiation

穿透辐射无损检测和成像中的不完全反问题

• 批准号: 4116-2013
• 负责人: Hussein, Esam
• 金额: $ 2.7万
• 依托单位: University of Regina
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=544165
• 关键词: Incomplete; Inverse; Problems; Nondestructive; Testing

Incomplete problems are encountered in scientific and engineering investigations when available measurable indications are not sufficient, or are not fully credible, to enable the determination of the state of a studied system. In radiological imaging, such incompleteness is compensated for by expert judgement and knowledge of the nature of the examined object or subject, or by comparison to previous or other independent indications. Although such measures are often effective, they sometimes fail, as evident by the medical imaging misdiagnosis reported in Canada and elsewhere within the past few years. Given available computing power, in terms of memory and speed, and the wide use of digital imaging, it is not inconceivable to numerically analyze such images in terms of the quality of data, the quality of the image and even the credibility of diagnosis. This can be accomplished by incorporating expert knowledge as probabilistic estimates with a certain degree of influence, or by accommodating other indications as constraints and utilizing previous trends to confine the range of assessment. Information from such exercise can also be utilized as feedback to the imaging process itself to improve its quality.

在科学和工程调查中，当可测量的迹象不足以或不完全可信时，就会遇到不完整的问题，从而能够确定所研究系统的状态。在放射成像中，这种不完整性通过专家判断和对被检查对象或对象的性质的了解来补偿，或者通过与先前或其他独立的指征进行比较来补偿。尽管这些措施通常是有效的，但它们有时会失败，过去几年在加拿大和其他地方报告的医学成像误诊就是明证。鉴于现有的计算能力，在内存和速度方面，以及数字成像的广泛使用，从数据质量、图像质量甚至诊断的可信度方面对这些图像进行数值分析并不是不可能的。这可以通过将专家知识作为具有一定影响的概率估计纳入其中，或通过将其他指标作为约束并利用以前的趋势来限制评估范围来实现。来自这类活动的信息也可用作成像过程本身的反馈，以提高其质量。