Deep Learning-Based Versus Iterative Image Reconstruction for Unenhanced Brain CT: A Quantitative Comparison of Image Quality

Deep Learning-Based Versus Iterative Image Reconstruction for Unenhanced Brain CT: A Quantitative Comparison of Image Quality

This exploratory retrospective study aims to quantitatively compare the image quality of unenhanced brain computed tomography (CT) reconstructed with an iterative (AIDR-3D) and a deep learning-based (AiCE) reconstruction algorithm. After a preliminary phantom study, AIDR-3D and AiCE reconstructions...

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Bibliographic Details
Main Authors: Andrea Cozzi, Maurizio Cè, Giuseppe De Padova, Dario Libri, Nazarena Caldarelli, Fabio Zucconi, Giancarlo Oliva, Michaela Cellina
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Tomography
Subjects:
brain computed tomography
iterative reconstruction algorithms
deep learning-based reconstruction algorithms
image quality
image noise
Online Access:https://www.mdpi.com/2379-139X/9/5/130

Internet

https://www.mdpi.com/2379-139X/9/5/130

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