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View article: Synthetic CT generation using Zero TE MR for head-and-neck radiotherapy
Synthetic CT generation using Zero TE MR for head-and-neck radiotherapy Open
Excellent dose agreement was found based on clinical plans between the CT and a ZTE-MR-based synCT in the head-and-neck region. Synthetic plans are an important addition to clinical plans to evaluate the dosimetric accuracy of synCT scans.
View article: Deep learning-based pseudo-CT synthesis from zero echo time MR sequences of the pelvis
Deep learning-based pseudo-CT synthesis from zero echo time MR sequences of the pelvis Open
Objectives To generate pseudo-CT (pCT) images of the pelvis from zero echo time (ZTE) MR sequences and compare them to conventional CT. Methods Ninety-one patients were prospectively scanned with CT and MRI including ZTE sequences of the p…
View article: Comprehensive deep learning-based framework for automatic organs-at-risk segmentation in head-and-neck and pelvis for MR-guided radiation therapy planning
Comprehensive deep learning-based framework for automatic organs-at-risk segmentation in head-and-neck and pelvis for MR-guided radiation therapy planning Open
Introduction: The excellent soft-tissue contrast of magnetic resonance imaging (MRI) is appealing for delineation of organs-at-risk (OARs) as it is required for radiation therapy planning (RTP). In the last decade there has been an increas…
View article: Region of interest focused MRI to synthetic CT translation using regression and segmentation multi-task network
Region of interest focused MRI to synthetic CT translation using regression and segmentation multi-task network Open
Objective . In MR-only clinical workflow, replacing CT with MR image is of advantage for workflow efficiency and reduces radiation to the patient. An important step required to eliminate CT scan from the workflow is to generate the informa…
View article: Comprehensive dose evaluation of a Deep Learning based synthetic Computed Tomography algorithm for pelvic Magnetic Resonance-only radiotherapy
Comprehensive dose evaluation of a Deep Learning based synthetic Computed Tomography algorithm for pelvic Magnetic Resonance-only radiotherapy Open
A ZTE-based sCT algorithm with high dose accuracy throughout the pelvis has been developed. This suggests the algorithm is sufficiently accurate for MR-only radiotherapy for all pelvic sites.
View article: Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network
Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network Open
In this work, we present a method for synthetic CT (sCT) generation from zero-echo-time (ZTE) MRI aimed at structural and quantitative accuracies of the image, with a particular focus on the accurate bone density value prediction. We propo…
View article: Deep-Learning-based Segmentation of Organs-at-Risk in the Head for MR-assisted Radiation Therapy Planning
Deep-Learning-based Segmentation of Organs-at-Risk in the Head for MR-assisted Radiation Therapy Planning Open
Segmentation of organs-at-risk (OAR) in MR images has several clinical applications; including radiation therapy (RT) planning. This paper presents a deep-learning-based method to segment 15 structures in the head region. The proposed meth…
View article: Low-dose, phase-contrast mammography with high signal-to-noise ratio
Low-dose, phase-contrast mammography with high signal-to-noise ratio Open
Differential phase-contrast X-ray imaging using a Talbot-Lau interferometer has recently shown promising results for applications in medical imaging. However, reducing the applied radiation dose remains a major challenge. In this study, we…