Deep Learning-Based Reconstruction vs. Iterative Reconstruction for Quality of Low-Dose Head-and-Neck CT Angiography with Different Tube-Voltage Protocols in Emergency-Department Patients

Deep Learning-Based Reconstruction vs. Iterative Reconstruction for Quality of Low-Dose Head-and-Neck CT Angiography with Different Tube-Voltage Protocols in Emergency-Department Patients

Objective: To compare the image quality of computed tomography angiography of the supra-aortic arteries (CTSA) at different tube voltages in low doses settings with deep learning-based image reconstruction (DLR) vs. hybrid iterative reconstruction (H-IR). Methods: We retrospectively reviewed 102 pat...

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Bibliographic Details
Main Authors: Marc Lenfant, Pierre-Olivier Comby, Kevin Guillen, Felix Galissot, Karim Haioun, Anthony Thay, Olivier Chevallier, Frédéric Ricolfi, Romaric Loffroy
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Diagnostics
Subjects:
deep-learning reconstruction
image quality
CT angiography
low-dose CT scan
emergency
Online Access:https://www.mdpi.com/2075-4418/12/5/1287

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https://www.mdpi.com/2075-4418/12/5/1287

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