Proton range uncertainty caused by synthetic computed tomography generated with deep learning from pelvic magnetic resonance imaging

L Tian, A Lühr - Acta Oncologica, 2023 - Taylor & Francis
Background In proton therapy, it is disputed whether synthetic computed tomography (sCT),
derived from magnetic resonance imaging (MRI), permits accurate dose calculations. On the …

Inpainting the metal artifact region in MRI images by using generative adversarial networks with gated convolution

K Xie, L Gao, Z Lu, C Li, Q Xi, F Zhang, J Sun… - Medical …, 2022 - Wiley Online Library
Purpose Magnetic resonance imaging (MRI) plays an important role in clinical diagnosis, but
it is susceptible to metal artifacts. The generative adversarial network GatedConv with gated …

Integration between Novel Imaging Technologies and Modern Radiotherapy Techniques: How the Eye Drove the Chisel

G Francolini, I Morelli, MG Carnevale, R Grassi… - Cancers, 2022 - mdpi.com
Simple Summary This paper aims at showing the impact of novel imaging technologies and
modern radiotherapy techniques on the management of cancer, with a particular focus on …

Precision imaging guidance in the era of precision oncology: An update of imaging tools for interventional procedures

C Floridi, M Cellina, G Irmici, A Bruno… - Journal of Clinical …, 2022 - mdpi.com
Interventional oncology (IO) procedures have become extremely popular in interventional
radiology (IR) and play an essential role in the diagnosis, treatment, and supportive care of …

The Use of Magnetic Resonance Imaging in Radiation Therapy Treatment Simulation and Planning

KP McGee, M Cao, IJ Das, V Yu… - Journal of Magnetic …, 2024 - Wiley Online Library
Ever since its introduction as a diagnostic imaging tool the potential of magnetic resonance
imaging (MRI) in radiation therapy (RT) treatment simulation and planning has been …

Feasibility study on the clinical application of CT-based synthetic brain T1-weighted MRI: comparison with conventional T1-weighted MRI

Z Li, G Cao, L Zhang, J Yuan, S Li, Z Zhang, F Wu… - European …, 2024 - Springer
Objectives This study aimed to examine the equivalence of computed tomography (CT)–
based synthetic T1-weighted imaging (T1WI) to conventional T1WI for the quantitative …

[HTML][HTML] A body mass index-based method for “MR-only” abdominal MR-guided adaptive radiotherapy

C Rippke, CK Renkamp, C Stahl-Arnsberger… - … für Medizinische Physik, 2023 - Elsevier
Purpose Dose calculation for MR-guided radiotherapy (MRgRT) at the 0.35 T MR-Linac is
currently based on deformation of planning CTs (defCT) acquired for each patient. We …

CT-based generation of synthetic-pseudo MR images with different weightings for human knee

IS Masad, IF Abu-Qasmieh, HH Al-Quran… - Computers in Biology …, 2024 - Elsevier
Synthetic MR images are generated for their high soft-tissue contrast avoiding the discomfort
by the long acquisition time and placing claustrophobic patients in the MR scanner's …

A Deep Learning Approach for the Fast Generation of Synthetic Computed Tomography from Low-Dose Cone Beam Computed Tomography Images on a Linear …

L Vellini, S Zucca, J Lenkowicz, S Menna, F Catucci… - Applied Sciences, 2024 - mdpi.com
Featured Application The neural network proposed allows for the removal of the CT
simulation from the clinical workflow, paving the way for fast-track radiotherapy. Abstract …

Dosimetric accuracy of MR-guided online adaptive planning for nasopharyngeal carcinoma radiotherapy on 1.5 T MR-Linac

S Ding, H Liu, Y Li, B Wang, R Li, X Huang - Frontiers in Oncology, 2022 - frontiersin.org
Purpose The aim of this study is to evaluate the dose accuracy of bulk relative electron
density (rED) approach for application in 1.5 T MR-Linac and assess the reliability of this …