MIMO Ultrasonic Imaging Using Propagation and Backpropagation Method
发布人: 曹思圆   发布时间: 2018-07-05   浏览次数: 10

主讲人:金元威 教授
Department of Engineering and Aviation Sciences, University of Maryland Eastern Shore
主持人:吕长虹 教授
时间:2018-7-7 上午9:30-10:30
讲座地址:闵行数学楼401报告厅
主办单位:数学科学学院 科技处


报告人简介:Yuanwei Jin received the Ph.D. degree in electrical and computer engineering from the University of California at Davis in 2003. He is currently Professor and Chair with the Department of Engineering and Aviation Sciences, University of Maryland Eastern Shore. Prior to joining UMES, he was a Postdoctoral Fellow, then Research Scientist, with the Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA. He joined UMES as an Assistant Professor with the Department of Engineering and Aviation Sciences at UMES, Princess Anne, MD in 2008.  His research interests are in the general area of statistical signal and image processing, with applications in radar/sonar, biomedical imaging, structural health monitoring, and wireless communications. He has published over 80 journal and conference papers in professional societies such as IEEE and SPIE. He holds 4 US patents on imaging and communications. Dr. Jin received a 2016 BEYA Special Recognition Award on educational leadership at the 2016 BEYA-STEM conference. He received a 2010 Air Force Summer Faculty Fellowship award. He was a recipient of  an Earle C. Anthony Fellowship from the University of California at Davis. He is a Senior Member of the IEEE. 


报告内容简介:Ultrasonic tomography imaging techniques have been used widely in many applications including medical sciences, nondestructive testing, and sonar imaging. Ultrasonic tomography can be modeled by the inverse problem of a two-dimensional or three-dimensional wave propagation equation. For non-linear inverse problems, regularization techniques are needed to ensure a meaningful solution using iterative, computational-intensive methods. Typically, the problems of signal excitation and data sampling schemes are discussed in the context of signal processing while the problems of solving nonlinear acoustical wave equations are considered in the field of computational mathematics. Our research attempts to bridge the gap between these two separately studied fields by considering a multiple-input multiple-output (MIMO) signal excitation scheme. We develop a fast ultrasonic tomographic imaging algorithm in a MIMO configuration using the propagation and backpropagation (PBP) method. By this method, ultrasonic excitation signals from multiple sources are transmitted simultaneously to probe the objects immersed in the medium. The scattering signals are recorded by multiple receivers. Utilizing the nonlinear ultrasonic wave propagation equation and the received time domain scattered signals, the objects are reconstructed. By numerical experiments we demonstrate that the proposed MIMO-PBP tomographic imaging method results in faster convergence and achieves a superior imaging quality. Hardware implementation using Graphics Processing Units (GPUs) are also tested.