A review of substitute CT generation for MRI-only radiation therapy

JM Edmund, T Nyholm - Radiation Oncology, 2017 - Springer
Radiotherapy based on magnetic resonance imaging as the sole modality (MRI-only RT) is
an area of growing scientific interest due to the increasing use of MRI for both target and …

Systematic review of synthetic computed tomography generation methodologies for use in magnetic resonance imaging–only radiation therapy

E Johnstone, JJ Wyatt, AM Henry, SC Short… - International Journal of …, 2018 - Elsevier
Magnetic resonance imaging (MRI) offers superior soft-tissue contrast as compared with
computed tomography (CT), which is conventionally used for radiation therapy treatment …

MRI‐only based synthetic CT generation using dense cycle consistent generative adversarial networks

Y Lei, J Harms, T Wang, Y Liu, HK Shu, AB Jani… - Medical …, 2019 - Wiley Online Library
Purpose Automated synthetic computed tomography (sCT) generation based on magnetic
resonance imaging (MRI) images would allow for MRI‐only based treatment planning in …

MR‐based synthetic CT generation using a deep convolutional neural network method

X Han - Medical physics, 2017 - Wiley Online Library
Purpose Interests have been rapidly growing in the field of radiotherapy to replace CT with
magnetic resonance imaging (MRI), due to superior soft tissue contrast offered by MRI and …

[HTML][HTML] A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients

CN Ladefoged, I Law, U Anazodo, KS Lawrence… - Neuroimage, 2017 - Elsevier
Aim To accurately quantify the radioactivity concentration measured by PET, emission data
need to be corrected for photon attenuation; however, the MRI signal cannot easily be …

Vision 20/20: magnetic resonance imaging‐guided attenuation correction in PET/MRI: challenges, solutions, and opportunities

A Mehranian, H Arabi, H Zaidi - Medical physics, 2016 - Wiley Online Library
Attenuation correction is an essential component of the long chain of data correction
techniques required to achieve the full potential of quantitative positron emission …

[HTML][HTML] Magnetic resonance-based synthetic computed tomography images generated using generative adversarial networks for nasopharyngeal carcinoma …

Y Peng, S Chen, A Qin, M Chen, X Gao, Y Liu… - Radiotherapy and …, 2020 - Elsevier
Background and purpose To investigate the feasibility of synthesizing computed tomography
(CT) images from magnetic resonance (MR) images using generative adversarial networks …

Attenuation correction of PET/MR imaging

Y Chen, H An - Magnetic Resonance Imaging Clinics, 2017 - mri.theclinics.com
Simultaneous PET and MR imaging offers unprecedented opportunities to synergize the
physiologic and molecular imaging capability of PET and the excellent anatomic and …

Clinical validation of a commercially available deep learning software for synthetic CT generation for brain

M Lerner, J Medin, C Jamtheim Gustafsson, S Alkner… - Radiation …, 2021 - Springer
Background Most studies on synthetic computed tomography (sCT) generation for brain rely
on in-house developed methods. They often focus on performance rather than clinical …

MR‐based treatment planning in radiation therapy using a deep learning approach

F Liu, P Yadav, AM Baschnagel… - Journal of applied …, 2019 - Wiley Online Library
Purpose To develop and evaluate the feasibility of deep learning approaches for MR‐based
treatment planning (deep MTP) in brain tumor radiation therapy. Methods and materials A …