Optimizing Parameters for Enhanced Iterative Image Reconstruction Using Extended Power Divergence

Optimizing Parameters for Enhanced Iterative Image Reconstruction Using Extended Power Divergence

In this paper, we propose a method for optimizing the parameter values in iterative reconstruction algorithms that include adjustable parameters in order to optimize the reconstruction performance. Specifically, we focus on the power divergence-based expectation-maximization algorithm, which include...

Full description

Bibliographic Details
Main Authors: Takeshi Kojima, Yusaku Yamaguchi, Omar M. Abou Al-Ola, Tetsuya Yoshinaga
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Algorithms
Subjects:
extended power-divergence measure
computed tomography
iterative reconstruction
expectation-maximization algorithm
optimization
Online Access:https://www.mdpi.com/1999-4893/17/11/512

Internet

https://www.mdpi.com/1999-4893/17/11/512

Similar Items