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Full-Text Articles in Electrical and Computer Engineering
Optimization Of Gpu-Accelerated Iterative Ct Reconstruction Algorithm For Clinical Use, Tao Ge
Optimization Of Gpu-Accelerated Iterative Ct Reconstruction Algorithm For Clinical Use, Tao Ge
McKelvey School of Engineering Theses & Dissertations
In order to transition the GPU-accelerated CT reconstruction algorithm to a more clinical environment, a graphical user interface is implemented. Some optimization methods on the implementation are presented. We describe the alternating minimization (AM) algorithm as the updating algorithm, and the branchless distance-driven method for the system forward operator. We introduce a version of the Feldkamp-Davis-Kress algorithm to generate the initial image for our alternating minimization algorithm and compare it to a choice of a constant initial image. For the sake of better rate of convergence, we introduce the ordered-subsets method, find the optimal number of ordered subsets, and discuss …
A Robust Statistical Estimation (Rose) Algorithm Jointly Recovers The 3d Location And Intensity Of Single Molecules Accurately And Precisely, Hesam Mazidi, Arye Nehorai, Matthew D. Lew
A Robust Statistical Estimation (Rose) Algorithm Jointly Recovers The 3d Location And Intensity Of Single Molecules Accurately And Precisely, Hesam Mazidi, Arye Nehorai, Matthew D. Lew
Electrical & Systems Engineering Publications and Presentations
In single-molecule (SM) super-resolution microscopy, the complexity of a biological structure, high molecular density, and a low signal-to-background ratio (SBR) may lead to imaging artifacts without a robust localization algorithm. Moreover, engineered point spread functions (PSFs) for 3D imaging pose difficulties due to their intricate features. We develop a Robust Statistical Estimation algorithm, called RoSE, that enables joint estimation of the 3D location and photon counts of SMs accurately and precisely using various PSFs under conditions of high molecular density and low SBR.