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Researcher's Profile

Last Name

Van Veen

First Name

Barry

Middle Initial

Areas of Research Expertise

* Adaptive filtering, adaptive beamforming, signal detection, and estimation, equalization, and sensor array signal processing

* Developing and analyzing algorithms for reconstructing and modeling electrical activity in the brain from surface measurements of the magnetic and/or electric fields

* Development of algorithms for microwave-based detection, monitoring, and treatment of breast cancer

Web site

Barry Van Veen's University Web Page

Curriculum Vitae (CV)

Current/Active Funding

UWF, 2007-2099, Discretionary Funds
Wisconsin Alumni Research Foundation, 1999-2026

Issued Patent(s)

7,110,378 - Channel aware optimal space-time signaling for wireless communication over wideband multipath channels, granted Sep 2006.
5,963,651 - Adaptive acoustic attenuation system having distributed processing and shared state nodal architecture, granted Oct 1999.
5,561,598 - Adaptive control system with selectively constrained ouput and adaptation, granted Oct 1996.
5,379,770 - Method and apparatus for transcranial doppler sonography, granted Jan 1995.
5,263,488 - Method and apparatus for localization of intracerebral sources of electrical activity, granted Nov 1993.

USPTO Published Applications

20060241409 - Time domain inverse scattering techniques for use in microwave imaging, published Oct 2006.
20060058606 - Microwave-based examination using hypothesis testing, published Mar 2006.
20030088180 - Space-time microwave imaging for cancer detection, published May 2003.

Recent Publication(s)

"3D computational study of non-invasive patient-specific microwave hyperthermia treatment of breast cancer"

Zastrow E, Hagness SC, Van Veen BD, Physics in Medicine and Biology 55 (13): 3611-3629 Jul 2010. Non-invasive microwave hyperthermia treatment of breast cancer is investigated using three-dimensional (3D) numerical breast phantoms with anatomical and dielectric-properties realism.

"Contrast-enhanced microwave imaging of breast tumors: a computational study using 3D realistic numerical phantoms"

Shea JD, Kosmas P, Van Veen BD, et al., Inverse Problems 26 (7): 074009 Jul 2010. The detection of early-stage tumors in the breast by microwave imaging is challenged by both the moderate endogenous dielectric contrast between healthy and malignant glandular tissues and the spatial resolution available from illumination at microwave frequencies. Differential images of the applied contrast demonstrate the potential of the approach for detecting the preferential uptake of contrast agents by malignant tissues.

"A sparsity Regularization Approach to the Electromagnetic Inverse Scattering Problem"

Winters DW, Van Veen BD, Hagness SC, IEEE Transactions on Antennas and Propagation 58(1): 145-154 Jan 2010. The authors show that elastic net approach can produce a more acurate estimate of the distribution of dielectric properties within an anatomically realistic 3-D numerical breast phantom.

"Three-dimensional microwave breast imaging: dispersive dielectric properties estimation using patient-specific basis fuctions"

Winters DW, Van Veen BD, Hagness SC, IEEE Transactions on Medical Imaging 28 (7): 969-981 Jul 2009. Breast imaging via microwave tomography involves estimating the distribution of dielectric properties within the patient's breast on a discrete mesh. The number of unknowns in the discrete mesh can be very large for 3-D imaging, and this results in computational challenges. We propose a new approach where the discrete mesh is replaced with a relatively small number of smooth basis function.