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Research Abstracts Online
January 2009 - March 2010

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University of Minnesota Twin Cities
Institute of Technology
Department of Biomedical Engineering

PI: Bin He

Bioelectromagnetic Source Imaging

The importance of determining the functional status of the brain and the heart is self-evident, yet establishing a high-resolution spatio-temporal imaging modality remains a challenging research field. Innovative engineering advancements are essential to achieve such a goal. Brain and heart activation is a spatio-temporally-distributed process. Recent advances in medical imaging technology, especially functional MRI, have greatly increased our ability to image brain functions with high spatial resolution. Electrophysiological recordings, on the other hand, offer millisecond temporal resolution in detecting and characterizing brain activity. The goal of this project is to develop bioelectromagnetic source imaging techniques to estimate the spatial distributions of bioelectric current and the electrical impedance distributions. The researchers’ approaches include the using the finite element method and various signal and image processing algorithms in order to estimate the functional status of the brain and heart from noninvasive measurements.

Group Members

Eren Gultepe, Graduate Student
Chengzong Han, Graduate Student
Gang Hu, Research Associate
Keith Jamison, Graduate Student
Dakun Lai, Research Associate
Won Hee Lee, Visiting Researcher
Xu Li, Graduate Student
Chenguang Liu, Graduate Student
Jiaen Liu, Graduate Student
Zhongming Liu, Research Associate
Yunfeng Lu, Graduate Student
Leo Mariappan, Graduate Student
Audrey Royer, Graduate Student
Gang Wang, Research Associate
Christopher Wilke, Graduate Student
Lin Yang, Graduate Student
Han Yuan, Graduate Student
Huishi Zhang, Graduate Student
Xiaotong Zhang, Research Associate
Zhaoye Zhou, Graduate Student