Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review

M Boulanger, JC Nunes, H Chourak, A Largent, S Tahri… - Physica Medica, 2021 - Elsevier
Purpose In radiotherapy, MRI is used for target volume and organs-at-risk delineation for its
superior soft-tissue contrast as compared to CT imaging. However, MRI does not provide the …

Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives

D Cusumano, L Boldrini, J Dhont, C Fiorino, O Green… - Physica medica, 2021 - Elsevier
Over the last years, technological innovation in Radiotherapy (RT) led to the introduction of
Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast …

A deep learning approach to generate synthetic CT in low field MR-guided adaptive radiotherapy for abdominal and pelvic cases

D Cusumano, J Lenkowicz, C Votta, L Boldrini… - Radiotherapy and …, 2020 - Elsevier
Purpose Artificial intelligence (AI) can play a significant role in Magnetic Resonance guided
Radiotherapy (MRgRT), especially to speed up the online adaptive workflow. The aim of this …

A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases

J Lenkowicz, C Votta, M Nardini, F Quaranta… - Radiotherapy and …, 2022 - Elsevier
Introduction This study aims to apply a conditional Generative Adversarial Network (cGAN)
to generate synthetic Computed Tomography (sCT) from 0.35 Tesla Magnetic Resonance …

Artificial intelligence in the era of precision oncological imaging

M Cellina, M Cè, N Khenkina… - … in Cancer Research …, 2022 - journals.sagepub.com
Rapid-paced development and adaptability of artificial intelligence algorithms have secured
their almost ubiquitous presence in the field of oncological imaging. Artificial intelligence …

Improving the clinical workflow of a MR-Linac by dosimetric evaluation of synthetic CT

B Tang, M Liu, B Wang, P Diao, J Li, X Feng… - Frontiers in …, 2022 - frontiersin.org
Adaptive radiotherapy performed on the daily magnetic resonance imaging (MRI) is an
option to improve the treatment quality. In the adapt-to-shape workflow of 1.5-T MR-Linac …

Personalized modeling to improve pseudo–computed tomography images for magnetic resonance imaging–guided adaptive radiation therapy

X Ma, X Chen, Y Wang, S Qin, X Yan, Y Cao… - International Journal of …, 2022 - Elsevier
Purpose Magnetic resonance imaging–guided adaptive radiation therapy (MRIgART)
greatly improves daily tumor localization and enables online replanning to obtain maximum …

Artificial intelligence applied to image-guided radiation therapy (IGRT): a systematic review by the Young Group of the Italian Association of Radiotherapy and Clinical …

L Boldrini, A D'Aviero, F De Felice, I Desideri… - La radiologia …, 2024 - Springer
Introduction The advent of image-guided radiation therapy (IGRT) has recently changed the
workflow of radiation treatments by ensuring highly collimated treatments. Artificial …

Synthetic computed tomography generation from 0.35 T magnetic resonance images for magnetic resonance–only radiation therapy planning using perceptual loss …

X Li, P Yadav, AB McMillan - Practical Radiation Oncology, 2022 - Elsevier
Purpose Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast, which
makes it useful for delineating tumor and normal structures in radiation therapy planning, but …

[HTML][HTML] Synthetic computed tomography generation for abdominal adaptive radiotherapy using low-field magnetic resonance imaging

AG Hernandez, P Fau, J Wojak, H Mailleux… - Physics and Imaging in …, 2023 - Elsevier
Abstract Background and Purpose Magnetic Resonance guided Radiotherapy (MRgRT) still
needs the acquisition of Computed Tomography (CT) images and co-registration between …