Medical image reconstruction algorithm based on the geometric information between sensor detector and ROI

2016 ◽  
Author(s):  
Woonchul Ham ◽  
Chulgyu Song ◽  
Kangsan Lee ◽  
Seungkuk Roh
Keyword(s):  
Image Reconstruction ◽  
Medical Image ◽  
Reconstruction Algorithm ◽  
Geometric Information ◽  
Image Reconstruction Algorithm ◽  
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.

scholarly journals Implementation of 2-Dimensional Medical Image Reconstruction Algorithm for Photoacoustic Imaging

2017 ◽  
Vol 4 (1) ◽  
pp. 6-11
Author(s):  
Enkhbat Batbayar ◽  
Enkhbaatar Tumenjargal ◽  
Woonchul Ham ◽  
Chulgyu Song
Keyword(s):  
Image Reconstruction ◽  
Imaging System ◽  
Photoacoustic Imaging ◽  
Reconstruction Algorithm ◽  
Ultrasound Probe ◽  
Geometric Information ◽  
Image Reconstruction Algorithm ◽  
Medical Image Reconstruction ◽  
Simulation Results

In this paper, we review and discuss our proposed image reconstruction algorithm for two dimensional stereo photo-acoustic medical imaging system. The proposed algorithms aim to evaluate the existence possibility of acoustic source within a search area by using the geometric information which is the distance between each sensor element of ultrasound probe and corresponding searching point. Besides, we implemented the hardware and software aspects of an photo-acoustic imaging system that is described in hardware implementation section of this paper. At the end of this paper, some simulation results are presented which utilized the proposed algorithm while compared the image quality of its and conventional k-wave algorithm in which FFT should be used. The simulation results proved the effectiveness of the proposed reconstruction algorithm.

MICROWAVE IMAGING OF EMBEDDED OBJECT USING AN ENHANCED IMAGE RECONSTRUCTION ALGORITHM

2015 ◽  
Vol 74 (20) ◽  
pp. 1793-1801
Author(s):  
Sidi Mohammed Chouiti ◽  
Lotfi Merad ◽  
Sidi Mohammed Meriah ◽  
Xavier Raimundo
Keyword(s):  
Image Reconstruction ◽  
Reconstruction Algorithm ◽  
Microwave Imaging ◽  
Image Reconstruction Algorithm
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