Fast, automated optimization of virtual monoenergetic images with the dual‐energy image synthesizer for cone‐beam CT

A spectrum of VMIs from DE-CBCT was efficiently produced with 1 keV precision using DISC. Optimal energies for both soft tissue contrast and nonuniformity reduction were quickly computed with high precision. Future work will expand DISC to generate other DE-derived image types and will explore the acquisition and optimization of DE patient images.

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Publication Details

Journal
Journal of Applied Clinical Medical Physics
Published
2025-04-22
DOI
https://doi.org/10.1002/acm2.70083
Citations
1
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
0.67

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article

Fast, automated optimization of virtual monoenergetic images with the dual‐energy image synthesizer for cone‐beam CT

Mathias Lehmann, Hyejoo Kang, Jason Luce, John C. Roeske et al.
1 citations
Journal of Applied Clinical Medical Physics
Advanced X-ray and CT Imaging
0.67
article

Fast, automated optimization of virtual monoenergetic images with the dual‐energy image synthesizer for cone‐beam CT

Mathias Lehmann, Hyejoo Kang, Jason Luce, John C. Roeske, Andrew Keeler
article en
1 citations

Abstract

A spectrum of VMIs from DE-CBCT was efficiently produced with 1 keV precision using DISC. Optimal energies for both soft tissue contrast and nonuniformity reduction were quickly computed with high precision. Future work will expand DISC to generate other DE-derived image types and will explore the acquisition and optimization of DE patient images.

Journal of Applied Clinical Medical PhysicsVol. 26(6)
Loyola University Chicago (US), University of Chicago (US), Varian Medical Systems (Switzerland) (CH)
National Institutes of Health, National Cancer Institute
Affordable and clean energy
Openalex Percentile: Top 33%
Advanced X-ray and CT Imaging
0.67
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