What is it about?
The limited-angle computed tomography (CT) reconstruction problem is an ill-posed inverse problem, and the parameter selection for limited-angle CT iteration reconstruction is a difcult issue in practical application. In this paper, to alleviate the instability of limited-angle CT reconstruction problem and automatize the reconstruction process, we propose an adaptive iteration reconstruction method that the regularization parameter is chosen adaptively via the plot of the normalized wavelet coefcients ftting residual versus that the ℓ0 regularization part.
Photo by Mathew Schwartz on Unsplash
Why is it important?
The experimental results show that the reconstructed images using the method with adapted regularization parameter are almost as good as that using the non-adapted parameter method in terms of visual inspection
Read the Original
This page is a summary of: An adaptive iteration reconstruction method for limited-angle CT image reconstruction, Journal of Inverse and Ill-Posed Problems, December 2018, De Gruyter, DOI: 10.1515/jiip-2017-0034.
You can read the full text:
The following have contributed to this page