Virtual Monoenergetic Images of Dual-Energy CT—Impact on Repeatability, Reproducibility, and Classification in Radiomics

Virtual Monoenergetic Images of Dual-Energy CT—Impact on Repeatability, Reproducibility, and Classification in Radiomics

The purpose of this study was to (i) evaluate the test–retest repeatability and reproducibility of radiomic features in virtual monoenergetic images (VMI) from dual-energy CT (DECT) depending on VMI energy (40, 50, 75, 120, 190 keV), radiation dose (5 and 15 mGy), and DECT approach (dual-source and...

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Bibliographic Details
Main Authors: André Euler, Fabian Christopher Laqua, Davide Cester, Niklas Lohaus, Thomas Sartoretti, Daniel Pinto dos Santos, Hatem Alkadhi, Bettina Baessler
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Cancers
Subjects:
radiomics
spectral CT
dual-energy CT
oncology
machine learning
computed tomography
Online Access:https://www.mdpi.com/2072-6694/13/18/4710

Internet

https://www.mdpi.com/2072-6694/13/18/4710

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