[PDF] Top 20 An efficient iterative CBCT reconstruction approach using gradient projection sparse reconstruction algorithm
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An efficient iterative CBCT reconstruction approach using gradient projection sparse reconstruction algorithm
... an iterative but computationally efficient and convergence-proofed image reconstruction algorithm based on the compressed sensing ...revisit gradient projection for sparse ... See full document
9
Efficient Sparse Imaging Reconstruction Algorithm for through -the-Wall Radar
... existing sparse imaging approaches are capable of obtaining successful imaging results, these algorithms require that the data dictionary matrix should be explicitly constructed before the imaging process and thus ... See full document
9
GPU accelerated voxel-driven forward projection for iterative reconstruction of cone-beam CT
... the algorithm shifts from CPUs to GPUs, it is not an intui- tive issue because the concurrent threads write data in GPU memories in a scattered manner ...more efficient than scatter operations for faster ... See full document
11
Application of Gradient Projection for Sparse Reconstruction to Compressed Sensing for Image Reconstruction of Electrical Capacitance Tomography
... CS-GPSR algorithm is obviously improved compared with that of LBP algorithm and Landweber iterative ...CS-GPSR algorithm can clearly reconstruct the location information and edge information ... See full document
7
AN EFFICIENT AND FAST SUPER RESOLUTION RECONSTRUCTION ALGORITHM
... image using a computational process known as super resolution ...Resolution algorithm using sparse representation and FFT based Image ...a sparse linear combination of elements from an ... See full document
10
Implementation of Efficient CT Reconstruction From Projection By A Discrete Radon Transform Using FRA
... a projection will contain non- uniformly distributed samples, to each sample in a projection will be associated the value of the parameter s of the corresponding projection ...the algorithm ... See full document
8
Reconstruction Algorithm for Microwave Tomography Using Iterative Regularized Levenberg-Marquardt Method
... The only priori information we have used in our algorithm is that the real part of the complex dielectric constant cannot be negative and the imaginary part cannot be positive. Figure 2 shows the model in terms of ... See full document
5
Craniosynostosis: diagnostic imaging with three dimensional CT presentation
... PURPOSE: To m easure diagnostic performance and preference of two three-dimensional CT reconstruction modalities voxel-gradient and surface-projection displayed two ways conventional and[r] ... See full document
9
Iterative projection approach for phase retrieval of semi sparse wave field
... and iterative projection approaches (Fienup-type methods) ...For iterative projection approaches, the first proposed algorithm is the Gerchberg and Saxton approach (GS) ...of ... See full document
13
Influence of Ultra Low Dose and Iterative Reconstructions on the Visualization of Orbital Soft Tissues on Maxillofacial CT
... MATERIALS AND METHODS: Contrast-to-noise ratios of the optic nerve and inferior rectus muscle and subjective scores of a human cadaver were calculated from CT with a reference dose protocol (CT dose index volume ⫽ 36.69 ... See full document
6
Radiation Dose Reduction in Temporal Bone CT with Iterative Reconstruction Technique
... fast reconstruction technique. FBP reconstruction of an acquisition with low SNR, however, produces excessive noise and ...the iterative updates and therefore contribute very little to the final ... See full document
7
Efficient implementation of a local tomography reconstruction algorithm
... As previously discussed, the operators involved in for- ward model (10) are a cropping operator, a one-dimen- sional convolution, and a projector. The convolution can be efficiently implemented, either in the Fourier ... See full document
15
Emphysema quantification using chest CT: influence of radiation dose reduction and reconstruction technique
... of using different HU thresholds or percen- tiles is shown in ...dose, using a lower thresh- old of -960 HU, -970 HU and -980 HU at 45%, 60% and 75% reduced dose, respectively, resulted in a percentage of ... See full document
10
A Reconstruction based Finite Volume Method for Diffusion Equation on Unstructured Grids.
... obtained using the scheme but the computational costs and times were very high compared to the lower order schemes ...integration using GMRES is done by Michalak ...CPR algorithm is used in the ... See full document
98
The Direction-of-Arrival and Polarization Estimation Using Coprime Array: a Reconstructed Covariance Matrix Approach
... In this paper, a reconstructed covariance matrix method is proposed for a coprime PSA. The proposed method first reconstructs the received data and then obtains a covariance matrix that has no zero elements. Then, we can ... See full document
11
An efficient algorithm for the reconstruction of punctured convolutional codes
... which are the polynomials in H(D). It is very difficult to estimate the degrees of the polynomials in H(D) from these in G ( D ) . The maximal degree of the polynomials in H ( D ) can be either greater or less than that ... See full document
5
Review on Analytical and Iterative Reconstruction Algorithms for Computerized Tomography
... image reconstruction has been explored, through this ...the iterative approach on image reconstruction methodology has an edge over analytical ... See full document
5
Iterative Reconstruction in Head CT: Image Quality of Routine and Low Dose Protocols in Comparison with Standard Filtered Back Projection
... Due to the computational complexity, time for reconstruc- tion was substantially increased with use of the iterative algo- rithm. However, with a median reconstruction interval of 68 seconds, clinical ... See full document
7
Electrical Impedance Tomography Image Reconstruction Using Iterative Lavrentiev and L Curve Based Regularization Algorithm
... medium using elec- trical measurement from a series of electrodes on its sur- face [ 1－ ...object using an image reconstruction algorithm ... See full document
6
Sparse Signal Reconstruction using Basis Pursuit Algorithm
... sensing using basic pursuit ...data. Using basis pursuit, at different sparsity level, we tried to reconstruct those 2000 samples and accuracy is calculated against each sparsity ...output using BP ... See full document
5
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