J. Webster Stayman, PhD

Associate Professor

Office: Traylor 605
Lab: Advanced Imaging Algorithms and Instrumentation Lab


Ph.D., Electrical Engineering, University of Michigan, 2003
M.S., Electrical Engineering, University of Michigan, 1998
B.S., Computer & Systems Engineering, Rensselaer Polytechnic Institute, 1995

Research Interests

Medical imaging systems modeling, design, and optimization (including x-ray CT, cone-beam CT, phase-contrast CT). Interventional imaging and integration of patient-, task-, and device-specific information into imaging devices and workflows. Signal processing, estimation theory, and optimization — especially as applied to the development of sophisticated image reconstruction algorithms and acquisition strategies for high-performance on low-fidelity or sparse data.

Selected Publications

From Pub Med   |   Google Scholar Profile

Publications Search

J. W. Stayman, Y. Otake, J. L. Prince, J. H. Siewerdsen, “Model-based Tomographic Reconstruction of Objects containing Known Components,” Trans. Medical Imaging, 31(10), 1837-1848, October 2012.

J. W. Stayman, J. L. Prince, J. H. Siewerdsen, “Information Propagation in Prior-Image-Based Reconstruction,” The Second International Conference on Image Formation in X-Ray Computed Tomography, Salt Lake City, 334-338, June 2012.

J. W. Stayman, W. Zbijewski, Y. Otake, S. Schafer, J. Lee, J. L. Prince, J. H. Siewerdsen, “Penalized-Likelihood Reconstruction for Sparse Data Acquisitions with Unregistered Prior Images and Compressed Sensing Penalties,” SPIE Medical Imaging, Orlando, Vol. 7961, 79611L-1-6, February 2011.

J. W. Stayman, J. A. Fessler, “Efficient calculation of resolution and covariance for fully-3D SPECT, IEEE Trans. Med. Imaging, 23(12):1543-56, Dec. 2004.

J. W. Stayman, J. A. Fessler, “Regularization for uniform spatial resolution properties in penalized-likelihood image reconstruction,” IEEE Trans. Med. Imaging, 2000; 19(6): 601-15.