Bin He Professor 612-626-1115 email: binhe@umn.edu Personal Home Page

Biomedical Imaging and Neuroengineering

• B.S., Electrical Engineering, Zhejiang University , 1982
• M.S., Electrical Engineering, Tokyo Institute of Technology, 1985
• Ph.D., Biomedical Engineering, Tokyo Institute of Technology, 1988
• Postdoctoral Fellowship in Biomedical Engineering, Harvard University - M.I.T., 1991

Major research activities in our laboratory focus on the development of innovative methodologies for noninvasive imaging of the brain and the heart that allows assessment of functional status, and novel neuroengineering methods. Major current research activities include the following.

Functional Neuroimaging

Brain 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. We have developed electrophysiological neuroimging techniques, in combination with electroencephalographic recordings and MRIs, to estimate the spatial distributions of electrical potentials and current density over the cortical surface. In addition to cortical imaging, we are developing three dimensional source imaging techniques from noninvasive electromagnetic recordings, as well as multimodal neuroimaging techniques by integrating electrophysiological neuroimaging with functional MRI.

Electrocardiographic Tomography

Another major area of research activity in our laboratory is in the investigation of advanced imaging technologies and computer models for assessing dynamic cardiac electrical activity. Research in this area is aimed at improving the understanding of the mechanisms of cardiac functions and dysfunctions and aiding clinical diagnosis and management of cardiac diseases. Current topics include three-dimensional electrocardiographic imaging, whole heart modeling and cardiac mapping. New techniques are being developed to estimate spatio-temporal distributions of current density, activation time, and transmembrane potential within the myocardium, from body surface electrocardiograms. The ultimate goal is to develop cardiac functional imaging techniques which can image and localize sites of arrhythmogenesis and its mechanisms.

Impedance Imaging

A recent effort in biomedical imaging is to develop high resolution electrical impedance imaging techniques to sense and image subtle changes in impedance of biological tissues from noninvasive measurements. We have proposed and developed a novel technique – magnetoacoustic tomography with magnetic induction (MAT-MI) integrating biomagnetism and ultrasound, to achieve high resolution imaging electrical impedance. A direct application of this technique shall be in cancer early detection. Also of interest is the development of novel algorithms for magnetic resonance electrical impedance tomography and applications to study brain functions.

Brain-Computer Interface

A developing area of research is the investigation of brain-computer interfaces. In this work, new techniques are being developed to extract information from electrophysiological signals such as scalp EEG to estimate the intent of human subjects. The goals of this research are to develop a system that can read the “thought” of subjects and then control external devices based on the information extracted from the brain.

Selected Publications

• Noninvasive Three-Dimensional Electrocardiographic Imaging of Ventricular Activation Sequence, Zhang X, Ramachandra I, Liu Z, Muneer B, Pogwizd SM, He B, American Journal of Physiology -Heart and Circulatory Physiology , 289(6):H2724-32, 2005 .

• Magnetoacoustic tomography with magnetic induction (MAT-MI). Xu Y & He B.
  Phys Med Biol. 50(21):5175-5187. 2005.

• Assessing time-varying cortical functional connectivity with the multimodal integration of high resolution EEG and fMRI data by Directed Transfer Function, Babiloni F, Babiloni C, Carducci F, Cincotti F, Astolfi L, Basilisco A, Rossini PM, Ding L, Ni Y, Cheng J, Christine K, Sweeney J, and He B, NeuroImage , 24(1):118-131, 2005 .

• In vivo human skull conductivity estimation from simultaneous extra- and intra-cranial electrical potential recordings, Lai Y, van Drongelen W, Ding L, Hecox KE, Towle VL, Frim DM, He B, Clinical Neurophysiology , 116(2):456-465, 2005 .

• Classifying EEG-based Motor Imagery Tasks by means of Time-frequency Synthesized Spatial Patterns, Wang T, Deng J, He B, Clinical Neurophysiology , 115(12): 2744-2753, 2004 .

• Motor Imagery Classification by Means of Source Analysis for Brain Computer Interface Applications, Qin L, Ding L, He B, J of Neural Engineering , 1:135-141, 2004 .

• Noninvasive Imaging of Ventricular Transmembrane Potentials within Three-dimensional Myocardium by Means of a Realistic Geometry Anisotropic Heart Model, He B, Li G & Zhang X, IEEE Transactions on Biomedical Engineering , 50: 1190-1202, 2003 .

• High Resolution EEG: Cortical Potential Imaging of Interictal Spikes, Zhang X, van Drongelen W, Hecox K, Towle VL, Frim DM, McGee A, & He B, Clinical Neurophysiology, 114: 1963-1973, 2003.

• Boundary Element Method Based Cortical Potential Imaging of Somatosensory Evoked Potentials Using Subjects' Magnetic Resonance Images, He B, Zhang Z, Lian J, Sasaki H, Wu S, Towle VL, NeuroImage, 16: 564-576, 2002.

• Noninvasive Three-dimensional Activation Time Imaging of Ventricular Excitation by Means of a Heart-Excitation-Model, He B, Li G, Zhang X, Physics in Medicine and Biology, 47: 4063-4078, 2002.

• A Cortical Potential Imaging Analysis of the P300 and Novelty P3 Components, He B, Lian J, Spencer KM, Dien J, Donchin E, Human Brain Mapping, 12: 120-130, 2001.

• Localization of the Site of Origin of Cardiac Activation by Means of a Heart-Model-Based Electrocardiographic Imaging Approach, Li G and He B, IEEE Transactions on Biomedical Engineering, 8:660-669, 2001.

• Estimating Cortical Potentials from Scalp EEG's in a Realistically Shaped Inhomogeneous Head Model By Means of the Boundary Element Method, He B, Wang Y, Wu D, IEEE Transactions on Biomedical Engineering, Vol. 46, 1264-1268, 1999.

• A Bioelectric Inverse Imaging Technique Based on Surface Laplacians, He B, Wu D, IEEE Transactions on Biomedical Engineering, BME-44, 529-538, 1997.

• Body surface Laplacian ECG mapping. He B and R.J. Cohen, IEEE Transactions on Biomedical Engineering, BME-39, 1179-1191, 1992.

• Electric dipole tracing in the brain by means of the boundary element method and its accuracy, He B, T. Musha, Y. Okamoto, S. Homma, Y. Nakajima & T. Sato, IEEE Transactions on Biomedical Engineering, BME-34, 406-414, 1987.