A diffraction tomography method for medical imaging implemented on high performance computing environment
The efficient implementation of a diffraction tomography method for medical imaging is addressed within the framework of High Performance Computing (HPC) environment. A non-linear optimization method for the solution of the inverse scattering problem is implemented on a shared memory model computer. Linear speed-up and significant reduction in the total execution time is achieved when the program is executed in parallel, enabling the feasibility of the method for realistic medical imaging applications.
KeywordsHigh Performance Computing Inverse Scattering Total Execution Time Diffraction Tomography Inverse Scattering Problem
Unable to display preview. Download preview PDF.
- 8.R. Kleinman, and P. van den Berg, “An extended range-modified gradient technique for profile inversion,” Radio Science, vol. 29, pp. 877–884, 1993.Google Scholar
- 10.T. A. Maniatis, K. S. Nikita and N. K. Uzunoglu, “A diffraction tomography technique using spectral domain moment method and nonlinear optimization,” in Applied Computational Electromagnetics, N. Uzunoglu Ed., NATO—ASI Series, Berlin: Springer Verlag (in press).Google Scholar
- 13.T. A. Maniatis, Development of Inverse Scattering Methods for Dielectric Object Imaging. PhD Thesis, Department of Electrical and Computer Engineering, National Technical University of Athens, 1998.Google Scholar
- 14.M. Snir, S. Otto, S. Huss-Lederman, D. Walker, and J. Dongarra, MPI—The Complete Reference. Cambridge: M.I.T. Press, 1996.Google Scholar