A review on medical imaging synthesis using deep learning and its clinical applications

T Wang, Y Lei, Y Fu, JF Wynne… - Journal of applied …, 2021 - Wiley Online Library
This paper reviewed the deep learning‐based studies for medical imaging synthesis and its
clinical application. Specifically, we summarized the recent developments of deep learning …

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 …

MR-guided radiotherapy for prostate cancer

BR Tocco, AU Kishan, TM Ma, LGW Kerkmeijer… - Frontiers in …, 2020 - frontiersin.org
External beam radiotherapy remains the primary treatment modality for localized prostate
cancer. The radiobiology of prostate carcinoma lends itself to hypofractionation, with recent …

Magnetic resonance‐guided radiation therapy: a review

S Chin, CL Eccles, A McWilliam… - Journal of medical …, 2020 - Wiley Online Library
Magnetic resonance‐guided radiation therapy (MRgRT) is a promising approach to
improving clinical outcomes for patients treated with radiation therapy. The roles of image …

Evaluating the clinical acceptability of deep learning contours of prostate and organs‐at‐risk in an automated prostate treatment planning process

J Duan, M Bernard, L Downes, B Willows… - Medical …, 2022 - Wiley Online Library
Background Radiation treatment is considered an effective and the most common treatment
option for prostate cancer. The treatment planning process requires accurate and precise …

[HTML][HTML] Current and potential applications of artificial intelligence in medical imaging practice: A narrative review

J Potočnik, S Foley, E Thomas - Journal of Medical Imaging and Radiation …, 2023 - Elsevier
Background and purpose Artificial intelligence (AI) is present in many areas of our lives.
Much of the digital data generated in health care can be used for building automated …

ICRU REPORT 97: MRI-guided radiation therapy using MRI-linear accelerators

PJ Keall, CK Glide-Hurst, M Cao, P Lee… - Journal of the …, 2022 - journals.sagepub.com
The International Commission on Radiation Units and Measurements (ICRU), since its
inception in 1925, has had as its principal objective the development of internationally …

Comparison of deep learning-based and patch-based methods for pseudo-CT generation in MRI-based prostate dose planning

A Largent, A Barateau, JC Nunes, E Mylona… - International Journal of …, 2019 - Elsevier
Purpose Deep learning methods (DLMs) have recently been proposed to generate pseudo-
CT (pCT) for magnetic resonance imaging (MRI) based dose planning. This study aims to …

[HTML][HTML] Advanced practice roles of therapeutic radiographers/radiation therapists: a systematic literature review

C Oliveira, B Barbosa, JG Couto, I Bravo, R Khine… - Radiography, 2022 - Elsevier
Abstract Introduction Advances in Radiotherapy (RT) technology and increase of complexity
in cancer care have enabled the implementation of new treatment techniques …

[HTML][HTML] Prostate cancer–advantages and disadvantages of MR-guided RT

J Murray, AC Tree - Clinical and translational radiation oncology, 2019 - Elsevier
External beam radiotherapy for prostate cancer is an optimal treatment choice for men with
localised prostate cancer and is associated with long term disease control in most patients …