scholarly journals FPGA as a Hardware Accelerator for Computation Intensive Maximum Likelihood Expectation Maximization Medical Image Reconstruction Algorithm

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 111727-111735 ◽  
Author(s):  
Murali Ravi ◽  
Angu Sewa ◽  
Shashidhar T.G. ◽  
Siva Sankara Sai Sanagapati
Keyword(s):  
Maximum Likelihood ◽  
Image Reconstruction ◽  
Expectation Maximization ◽  
Medical Image ◽  
Reconstruction Algorithm ◽  
Hardware Accelerator ◽  
Image Reconstruction Algorithm ◽  
Maximum Likelihood Expectation Maximization ◽  
Medical Image Reconstruction

Medical Image Compressed Sensing Reconstruction

2014 ◽  
Vol 556-562 ◽  
pp. 4835-4838 ◽  
Author(s):  
Hai Xia Yan ◽  
Yan Jun Liu ◽  
Yu Ming Sun
Keyword(s):  
Image Reconstruction ◽  
Compressed Sensing ◽  
Medical Image ◽  
Reconstruction Algorithm ◽  
Gradient Projection ◽  
Sparse Reconstruction ◽  
Image Reconstruction Algorithm ◽  
Gradient Direction ◽  
Medical Image Reconstruction ◽  
Negative Gradient

In order to improve the speed of compressed sensing image reconstruction algorithm, a two step rapid gradient projection for sparse reconstruction in medical image reconstruction is proposed. in traditional gradient projection for sparse reconstruction algorithm, the searching direction is alternate between the negative gradient direction when the direction is ill, the searching speed is slow. Now we search with two step gradient projection, the speed is increased when meets the ill-condition. Compared with the original GPSR algorithm, the TSGPSR algorithm not only accelerate the speed of operation, but also improves the accuracy of the reconstruction. and exhibits higher robustness under different noise intensities.

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