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Comparative studies of total-variation-regularized sparse ...
Theoretically, the PVDM performs more accurately than the DDM. On iterative reconstruction, the total variation (TV) regularization of an image has been commonly combined in the literature with alternative iterative algorithms to improve the ill-posedness of sparse reconstruction methods. 26–30 26. T.
Knowledge-based iterative model reconstruction ...
The aim of this study was to compare image quality of low tube voltage cerebral computed tomography angiography (CTA) reconstructed with knowledge-based iterative model reconstruction (IMR), filtered back projection (FBP), and hybrid iterative reconstruction (HIR).. A total of 101 patients with suspected cerebrovascular diseases were enrolled and randomized into 2 groups, 100 kVp tube voltage ......
 Iterative Reconstruction Technique for Reducing Body ...
Quantitative Analysis Two abdominal imaging fellows not involved in qualitative data analysis made quantitative noise measurements on a total of 36 data sets: 12 low-dose CT without adaptive statistical iterative reconstruction, 12 low-dose CT with adaptive sta-tistical iterative reconstruction, and 12 routine-dose comparison CT....
Iterative and discrete reconstruction in the evaluation of ...
The reduced datasets were then reconstructed with three different iterative reconstruction methods; the least squares implementation of the conjugate gradient method (CGLS) 35, the total variation ...
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