Algorithms and Systems for Electromagnetic and Ultrasound Inverse Problems

电磁和超声反问题的算法和系统

• 批准号: RGPIN-2017-05496
• 负责人: Lovetri, Joe
• 金额: $ 3.42万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=689418
• 关键词: Algorithms; Systems; Electromagnetic; Ultrasound; Inverse

This NSERC Discovery Grant proposal aims to advance the core scientific knowledge and practical technologies that form the foundation of quantitative electromagnetic wave imaging (EWI) and ultrasound imaging (USI). Both are wavefield imaging techniques that create quantitative images of particular properties of an inaccessible object or region of interest. Properties such as the permittivity and conductivity of a region are imaged when one utilizes electromagnetic waves, e.g., microwaves, whereas ultrasonic properties, such as the compressibility, attenuation factor, and mass density, are imaged when using ultrasound waves. These property images can be utilized in a wide variety of diagnostic applications. Under my direction, the Electromagnetic Imaging Laboratory at the U. of Manitoba has made significant contributions to particular EWI and USI algorithms and we've built imaging systems applicable to various biomedical and industrial applications. The primary biomedical focus has been on building systems and technologies for the detection of breast cancer as well as for the frequent monitoring of breast cancer treatment. These same techniques have also been incorporated into stored-grain imaging systems that are used for the monitoring of grain quality so as to provide the early detection of spoilage. The quantitative wavefield imaging techniques we've advanced, based on solving the nonlinear inverse scattering problem, can be utilized in imaging applications wherein wave-type energy can be introduced as an interrogating field and the scattered-field outside the region can be accurately measured. Our system design research enables the practical manifestation of this interrogation/measurement process and our software development, which incorporates the imaging algorithms, allows us to produce the property images.****Scientific and technological challenges limit the accuracy and resolution of images obtained using wavefield imaging. These challenges have limited the adoption of EWI for breast imaging but there is reason to believe that research will lead to improvements. Accuracy, rather than resolution, is more important for grain imaging where no competing technology that produces property images exists. The overall long-term focus of this research program is to improve and adapt EWI and USI algorithms, technologies, and systems to the point where these modalities become commercially viable modalities for both the breast imaging application as well as for the grain-imaging application. The main methodological theme is to simultaneously develop algorithmic advances while developing, incorporating, and utilizing system design features that aid the imaging process. The success of this research will open-up new biomedical and novel industrial applications (e.g., non-destructive evaluation). A total of seven graduate students will be involved in this research.

这项NSERC Discovery Grant提案旨在推进核心科学知识和实用技术，构成定量电磁波成像（EWI）和超声成像（USI）的基础。两者都是波场成像技术，它们创建了无法访问对象或感兴趣区域的特定特性的定量图像。当使用超声波（例如可压缩性，衰减因子和质量密度）时，在使用电磁波（例如，诸如区域的介电常数和电导率）时会成像。这些属性图像可以用于多种诊断应用中。在我的指导下，曼尼托巴省美国的电磁成像实验室为特定的EWI和USI算法做出了重大贡献，我们已经建立了适用于各种生物医学和工业应用的成像系统。主要的生物医学重点是用于检测乳腺癌以及频繁监测乳腺癌治疗的建筑系统和技术。这些相同的技术也已被纳入存储的谷物成像系统中，用于监测谷物质量，以便早期发现变质。基于求解非线性逆散射问题的定量波场成像技术可以在成像应用中使用，其中可以将波型能作为询问场引入，并且可以准确测量区域以外的散射场。我们的系统设计研究可以实现此审问/测量过程的实际表现，并结合了成像算法的软件开发，使我们能够生成属性图像。****科学和技术挑战限制了使用波场成像获得的图像的准确性和分辨率。这些挑战限制了EWI用于乳房成像，但是有理由相信研究将导致改善。准确性而不是解决方案，对于不存在竞争性技术的竞争技术而言，更重要。该研究计划的总体长期重点是改善和适应EWI和USI算法，技术和系统，以使这些方式在乳房成像应用以及谷物成像应用方面都成为商业上可行的方式。主要的方法论主题是在开发，合并和利用有助于成像过程的系统设计功能的同时同时发展算法进步。这项研究的成功将开辟新的生物医学和新型工业应用（例如，无损评估）。总共七名研究生将参与这项研究。