The solution by Hengyong Yu, the associate director of the CT laboratory at Virginia Tech; Jiansheng Yang and Ming Jiang of Peking University; and Wang is based on compressed sensing, a mathematical method for reducing the number of unknowns based on some sparsity model (Yu and Wang: Physics in Medicine and Biology, vol. 54, number 9 (2009), 2791�). "Among all the images that are possible solutions, we select that with the minimum variation and have proved that this approach would give the unique solution assuming the image being piece-constant or piece-polynomial. Reconstruction for interior tomography thus could do the job even if we do not have precise knowledge on a sub-region. That is a promising direction we are working along," said Wang.
Co-PIs on the NIH project are Yu with Wang's group; Kai Zeng, electrical engineer at GE Global Research Center; Hao Lai, manager of the GE Global Research CT and X-ray systems and applications laboratory; and Darin Okerlund, manager of GE Healthcare's applications engineering team.
The patented approach to interior tomography and instant tomography by reconstruction from truncated limited angle projection data was developed by Wang, Ye, and Yu. Virginia Tech Intellectual Properties Inc. has filed numerous patent applications for inventions by Wang's team, most of which improve the performance of biomedical imaging. Research has been funded by the National Institute of Biomedical Imaging and Bioengineering, National Cancer Institute, National Heart, Lung and Blood Institute, National Science Foundation, and other funding agencies.
|Contact: Susan Trulove|