Regularized reconstruction based on joint L1 and total variation for sparse-view cone-beam X-ray luminescence computed tomography
Year: 2018
Type: article
Abstract: regularization is used for enforcing the sparsity of the reconstructed images and the total variation regularization is used for maintaining the local smoothness of the reconstructed image. The implementation of this method can be divided into two parts. First, the reconstruction image was reconstructed based on the fast iterative shrinkage-thresholding (FISTA) algorithm, then the reconstruction image was minimized by the gradient descent method. Numerical simulations and phantom experiments indicate that compared with the traditional ART, ADAPTIK and FISTA methods, the proposed method demonstrates its advantage in improving spatial resolution and reducing imaging time.
Source: Biomedical Optics Express
Authors: Tianshuai Liu, Junyan Rong, Peng Gao, Huangsheng Pu, Wenli Zhang, Xiaofeng Zhang, Zhengrong Liang, Hongbing Lu
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,913
OpenAlex ID: W2903296297
