A preliminary investigation of using prior information for potentially improving image reconstruction in few-view CT

2008 ◽  
Author(s):  
Seungryong Cho ◽  
Emil Y. Sidky ◽  
Junguo Bian ◽  
Charles A. Pelizzari ◽  
Xiaochuan Pan
Keyword(s):  
Image Reconstruction ◽  
Prior Information ◽  
Preliminary Investigation

A preliminary investigation of ROI-image reconstruction with the rebinned BPF algorithm

2008 ◽  
Author(s):  
Junguo Bian ◽  
Dan Xia ◽  
Lifeng Yu ◽  
Emil Y. Sidky ◽  
Xiaochuan Pan
Keyword(s):  
Image Reconstruction ◽  
Preliminary Investigation

scholarly journals A Bayesian Hyperparameter Inference for Radon-Transformed Image Reconstruction

2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
Hayaru Shouno ◽  
Madomi Yamasaki ◽  
Masato Okada
Keyword(s):  
Bayesian Inference ◽  
Image Reconstruction ◽  
Prior Information ◽  
Additive White Gaussian Noise ◽  
Estimation Accuracy ◽  
Reconstruction Method ◽  
Model Framework ◽  
Poissonian Noise ◽  
Observation Noise

We develop a hyperparameter inference method for image reconstruction from Radon transform which often appears in the computed tomography, in the manner of Bayesian inference. Hyperparameters are often introduced in Bayesian inference to control the strength ratio between prior information and the fidelity to the observation. Since the quality of the reconstructed image is controlled by the estimation accuracy of these hyperparameters, we apply Bayesian inference into the filtered back-projection (FBP) reconstruction method with hyperparameters inference and demonstrate that the estimated hyperparameters can adapt to the noise level in the observation automatically. In the computer simulation, at first, we show that our algorithm works well in the model framework environment, that is, observation noise is an additive white Gaussian noise case. Then, we also show that our algorithm works well in the more realistic environment, that is, observation noise is Poissonian noise case. After that, we demonstrate an application for the real chest CT image reconstruction under the Gaussian and Poissonian observation noises.

A preliminary investigation of reduced-view image reconstruction from low dose breast CT data

2012 ◽  
Author(s):  
Junguo Bian ◽  
Xiao Han ◽  
Kai Yang ◽  
Emil Y. Sidky ◽  
John M. Boone ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Low Dose ◽  
Preliminary Investigation ◽  
Breast Ct ◽  
Ct Data
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