What is it about?
The paper presents the technique for Monte Carlo based evaluation of the sensitivity functions for few-view computed tomography. The results show that the proposed technique overperforms the standard method based on the projection approximation.
Featured Image
Photo by Aakash Dhage on Unsplash
Why is it important?
The proposed technique is especially important for few-view computed tomography of strongly absorbing media because it takes into account the effects of beam scattering and hardening directly during image reconstruction.
Perspectives
I really hope that the proposed technique will find practical application in few-view computed tomography of highly attenuating objects.
Dr. Alexander B Konovalov
Federal State Unitary Enterprise “Russian Federal Nuclear Center – Zababakhin All-Russia Research Institute of Technical Physics,” Snezhinsk, Russia
Read the Original
This page is a summary of: Monte Carlo simulation of sensitivity functions for few-view computed tomography of strongly absorbing media, Monte Carlo Methods and Applications, August 2022, De Gruyter,
DOI: 10.1515/mcma-2022-2120.
You can read the full text:
Contributors
The following have contributed to this page
