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 …

The potential for an enhanced role for MRI in radiation-therapy treatment planning

P Metcalfe, GP Liney, L Holloway… - … in cancer research …, 2013 - journals.sagepub.com
The exquisite soft-tissue contrast of magnetic resonance imaging (MRI) has meant that the
technique is having an increasing role in contouring the gross tumor volume (GTV) and …

Magnetic-field-induced dose effects in MR-guided radiotherapy systems: dependence on the magnetic field strength

AJE Raaijmakers, BW Raaymakers… - Physics in Medicine & …, 2008 - iopscience.iop.org
Several institutes are currently working on the development of a radiotherapy treatment
system with online MR imaging (MRI) modality. The main difference between their designs is …

Image guided radiation therapy (IGRT) technologies for radiation therapy localization and delivery

J De Los Santos, R Popple, N Agazaryan… - International Journal of …, 2013 - Elsevier
This executive summary provides a synopsis of the content of the report on image guided
technologies. It is intentionally limited in length and content. The complete detailed report …

[HTML][HTML] Synthetic CT generation for MRI-guided adaptive radiotherapy in prostate cancer

SH Hsu, Z Han, JE Leeman, YH Hu, RH Mak… - Frontiers in …, 2022 - frontiersin.org
Current MRI-guided adaptive radiotherapy (MRgART) workflows require fraction-specific
electron and/or mass density maps, which are created by deformable image registration …

Dosimetry for the MRI accelerator: the impact of a magnetic field on the response of a Farmer NE2571 ionization chamber

I Meijsing, BW Raaymakers… - Physics in Medicine …, 2009 - iopscience.iop.org
The UMC Utrecht is constructing a 1.5 T MRI scanner integrated with a linear accelerator
(Lagendijk et al 2008 Radiother. Oncol. 86 25–9). The goal of this device is to facilitate soft …

Evaluation of a commercial MRI Linac based Monte Carlo dose calculation algorithm with geant 4

SB Ahmad, A Sarfehnia, MR Paudel, A Kim… - Medical …, 2016 - Wiley Online Library
Purpose: This paper provides a comparison between a fast, commercial, in‐patient Monte
Carlo dose calculation algorithm (GPUMCD) and geant4. It also evaluates the dosimetric …

Patient dosimetry for hybrid MRI‐radiotherapy systems

C Kirkby, T Stanescu, S Rathee, M Carlone… - Medical …, 2008 - Wiley Online Library
A novel geometry has been proposed for a hybrid magnetic resonance imaging (MRI)‐linac
system in which a 6 MV linac is mounted on the open end of a biplanar, low field (0.2 T) MRI …