Optimal Virtual Monoenergetic Image in “TwinBeam” Dual-Energy CT for Organs-At-Risk Delineation Based on Contrast-Noise-Ratio in Head-And-Neck Radiotherapy

Journal of Applied Clinical Medical Physics - United States
doi 10.1002/acm2.12539
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Wiley

Related search

Improved Coronary Artery Contrast Enhancement Using Noise-Optimised Virtual Monoenergetic Imaging From Dual-Source Dual-Energy Computed Tomography

European Journal of Radiology
MedicineNuclear MedicineRadiologyImaging
2020English

Robust Quantitative Contrast-Enhanced Dual-Energy CT for Radiotherapy Applications

Medical Physics
MedicineNuclear MedicineRadiologyImagingBiophysics
2018English

A Multimodality Segmentation Framework for Automatic Target Delineation in Head and Neck Radiotherapy

Medical Physics
MedicineNuclear MedicineRadiologyImagingBiophysics
2015English

Virtual Monochromatic Imaging in Dual-Source Dual-Energy CT: Radiation Dose and Image Quality

Medical Physics
MedicineNuclear MedicineRadiologyImagingBiophysics
2011English

Segmentation of Organs-At-Risks in Head and Neck CT Images Using Convolutional Neural Networks

Medical Physics
MedicineNuclear MedicineRadiologyImagingBiophysics
2017English

Head and Neck Lymph Node Region Delineation With Image Registration

BioMedical Engineering Online
Nuclear MedicineRadiologyUltrasound TechnologyRadiologicalBiomaterialsImagingMedicineBiomedical Engineering
2010English

Evaluation of Low Contrast Resolution Using Contrast-To-Noise Ratio in CT

Nippon Hoshasen Gijutsu Gakkai zasshi
Medicine
1999English

Fully Automated Delineation of Gross Tumor Volume for Head and Neck Cancer on PET-CT Using Deep Learning: A Dual-Center Study

Contrast Media and Molecular Imaging
MedicineNuclear MedicineRadiologyImaging
2018English

Dual-Energy CT for Automatic Organs-At-Risk Segmentation in Brain-Tumor Patients Using a Multi-Atlas and Deep-Learning Approach

Scientific Reports
Multidisciplinary
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy