Low-Cost Probabilistic 3D Denoising with Applications for Ultra-Low-Radiation Computed Tomography

Low-Cost Probabilistic 3D Denoising with Applications for Ultra-Low-Radiation Computed Tomography

We propose a pipeline for synthetic generation of personalized Computer Tomography (CT) images, with a radiation exposure evaluation and a lifetime attributable risk (LAR) assessment. We perform a patient-specific performance evaluation for a broad range of denoising algorithms (including the most p...

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Bibliographic Details
Main Authors: Illia Horenko, Lukáš Pospíšil, Edoardo Vecchi, Steffen Albrecht, Alexander Gerber, Beate Rehbock, Albrecht Stroh, Susanne Gerber
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Journal of Imaging
Subjects:
denoising
nonparametric methods
Mumford–Shah formalism
LAR reduction
Online Access:https://www.mdpi.com/2313-433X/8/6/156

Internet

https://www.mdpi.com/2313-433X/8/6/156

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