智慧大讲坛：Linear equations and CT imaging: how are they related?（线性方程和CT成像：它们是如何相关的？）

报告时间：2019年5月6日上午10:30--12:00

报告地点：逸夫楼I311

报告人简介：

中文：杨永义是伊利诺伊理工大学电气与计算机工程系教授。他的研究兴趣是医学成像、机器学习、模式识别和生物医学应用。先后发表著作270多篇（引用超过7,100次，h因子为33）。目前研究主要集中在乳腺癌检测和诊断的计算机辅助技术，以及用于心脏诊断成像的图像重建方法。他是国际著名学术组织“美国医学及生物工程学院（AIMBE）”院士（Elected Fellow）。

英文：Yongyi Yang is the Harris Perlstein Professor in the Department of Electrical and Computer Engineering, Illinois Institute of Technology. His research interests are in medical imaging, machine learning, pattern recognition, and biomedical applications. He has over 270 peer-reviewed publications in these areas (over 7,100 citations, h-index=33 per Google Scholar). His research activities are in computer-aided techniques for breast cancer detection and diagnosis, and in image reconstruction methods for cardiac diagnostic imaging. He is an elected Fellow of the American Institute for Medical and Biological Engineering (AIMBE).

报告内容简介：

中文：计算机断层扫描（CT）是用于获得人体内部器官（例如，肝脏，心脏等）的详细图像的诊断成像工具。目前，CT成像已经成为临床应用的大量数学理论和技术复杂性。在本次报告中，我们将提供有关CT成像背后的数学原理的教程。我们将从如何在小学数学中求解线性方程组的问题开始，然后说明它是如何在CT中获得图像的基础。 我们还将提供CT成像的一些实际应用实例，并讨论CT中的一些具有挑战性的问题。

英文：Computed tomography (CT) is a diagnostic imaging tool for obtaining detailed images of the internal organs (e.g., liver, heart, etc.) of the human body. There is a great deal of mathematical theory and technical sophistication involved in making CT imaging a clinical reality today. In this talk we will provide a tutorial on the mathematical principle behind CT imaging. We will begin with the problem of how to solve a system of linear equations in elementary mathematics, and then illustrate that it is fundamental to how images are obtained in CT. We will also provide some practical application examples of CT imaging, and discuss some of the challenging issues in CT.

主办单位: 智能技术与工程学院     发布单位：科研处