Collaborative Research: Mathematical Methods for Emerging Techniques of Biomedical Imaging

合作研究：生物医学成像新兴技术的数学方法

• 批准号: 0908243
• 负责人: Leonid Kunyansky
• 金额: $ 10.95万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0908243&HistoricalAwards=false
• 关键词: Collaborative; Research; Mathematical; Methods; Emerging

A number of inexpensive, safe, and high contrast medical imaging procedures like Electrical Impedance Tomography (EIT) and Optical Tomography (OT) have been introduced in the recent decades. However, EIT and OT are plagued by instability and low resolution. To overcome these difficulties, novel hybrid methods are being currently developed that combine different types of radiation (e.g., ultrasound and electromagnetic waves). The idea is to combine the advantages of these waves, while alleviating their individual deficiencies. Among these methods, the project will concentrate mostly on the Thermoacoustic Tomography, Ultrasound-Modulated Optical Tomography, and Acousto-Electric Tomography, as well as possibly some newer emerging imaging modalities. It is devoted to developing mathematical analytic and numerical tools needed in these techniques, which are currently in their early (sometimes infant) stages of development. Computerized tomography is a major method of biomedical imaging, as well as of industrial non-destructive testing, geology, and other areas. Various modalities have been developed, including for instance the usual X-ray clinical ``CAT scan'', MRI, Optical, Ultrasound, and Electrical Impedance Tomography. All of them have their advantages and deficiencies in terms of resolution, cost, and safety. Thus a quest continues for new safer, cheaper, and reliable methods. In recent years, novel hybrid methods have been emerging, which promise to become cheap, safe and effective medical diagnostics tools. The project addresses the mathematical issues that are central in their development, since images have to be obtained by complex mathematical procedures rather than direct acquisition. Besides the significant impact on the development and implementation of several new inexpensive and safe methods of biomedical imaging, one can also envision a possibility of applications to non-destructive industrial testing and other areas where imaging of non-transparent objects is required.

近几十年来，已经引入了许多廉价、安全和高对比度的医学成像程序，如电阻抗断层扫描（EIT）和光学断层扫描（OT）。然而，EIT和OT受到不稳定性和低分辨率的困扰。为了克服这些困难，目前正在开发新的混合方法，其组合联合收割机不同类型的辐射（例如，超声波和电磁波）。我们的想法是将这些波的优点联合收割机结合起来，同时减轻它们各自的不足。在这些方法中，该项目将主要集中在热声层析成像，超声调制光学层析成像和声电层析成像，以及可能的一些新出现的成像方式。它致力于开发这些技术所需的数学分析和数值工具，这些技术目前正处于发展的早期（有时是婴儿）阶段。计算机断层扫描是生物医学成像以及工业无损检测、地质学等领域的主要方法。已经开发了各种模式，包括例如通常的X射线临床“CAT扫描”、MRI、光学、超声和电阻抗断层扫描。它们在分辨率、成本和安全性方面都有各自的优点和不足。因此，继续寻求新的更安全，更便宜和可靠的方法。近年来，新的混合方法不断涌现，有望成为廉价、安全、有效的医学诊断工具。该项目解决了数学问题，是中央在他们的发展，因为图像必须获得复杂的数学程序，而不是直接收购。除了对几种新的廉价和安全的生物医学成像方法的开发和实施产生重大影响外，还可以设想应用于非破坏性工业测试和其他需要对不透明物体成像的领域的可能性。