Colloquium: Electrical Impedance Tomography: The D-bar Method and Pulmonary Imaging
Abstract: Electrical impedance tomography (EIT) is a relatively new medical imaging technique in which electric fields are used to form real-time images of organ function and structure. To form these images, it is necessary to solve a severely ill-posed inverse problem with computational efficiency. One such algorithm is the D-bar method, which has the attributes of being a direct (non-iterative) method with a proven nonlinear regularization strategy. This talk will provide an introduction to EIT, the D-bar method, and innovations for its practical use in clinical settings. Examples include results in which this algorithm was applied to data collected by our team on patients with cystic fibrosis at Children’s Hospital Colorado.
About the speaker: Dr. Jennifer Mueller is a Professor of Mathematics and Biomedical Engineering at Colorado State University (CSU) and a Professor Laureate in the College of Natural Sciences at CSU. She also holds a courtesy appointment in the Department of Electrical and Computer Engineering. She received her Ph.D. from the University of Nebraska-Lincoln, and was an NSF Postdoctoral Fellow at Rensselaer Polytechnic Institute before joining the faculty at CSU. Her research encompasses development of new hardware, reconstruction algorithms, and clinical applications for electrical impedance tomography (EIT) and acoustic tomography. Supported by the NIH, her work involves close collaborations with mathematicians, engineers, and physicians in the U.S. and abroad. Dr. Mueller serves as an Associate Editor for IEEE Transactions on Medical Imaging, the SIAM Journal on Applied Mathematics, Inverse Problems, and the IEEE Journal of Electromagnetics, RF and Microwave in Medicine and Biology (JERM). She is co-author with Samuli Siltanen of the book ``Linear and Nonlinear Inverse Problems with Practical Applications’’, SIAM, 2012.
Contact Name: Jehanzeb H Chaudhary
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