Magnetic resonance linear accelerator technology and adaptive radiation therapy: An overview for clinicians
WA Hall, E Paulson, XA Li, B Erickson… - CA: a cancer journal …, 2022 - Wiley Online Library
Radiation therapy (RT) continues to play an important role in the treatment of cancer.
Adaptive RT (ART) is a novel method through which RT treatments are evolving. With the …
Adaptive RT (ART) is a novel method through which RT treatments are evolving. With the …
History of technological advancements towards MR-Linac: the future of image-guided radiotherapy
Image-guided radiotherapy (IGRT) enables optimal tumor targeting and sparing of organs-at-
risk, which ultimately results in improved outcomes for patients. Magnetic resonance …
risk, which ultimately results in improved outcomes for patients. Magnetic resonance …
[HTML][HTML] A review of the metrics used to assess auto-contouring systems in radiotherapy
Auto-contouring could revolutionise future planning of radiotherapy treatment. The lack of
consensus on how to assess and validate auto-contouring systems currently limits clinical …
consensus on how to assess and validate auto-contouring systems currently limits clinical …
[HTML][HTML] Patient specific deep learning based segmentation for magnetic resonance guided prostate radiotherapy
Abstract Background and Purpose Treatments on combined Magnetic Resonance (MR)
scanners and Linear Accelerators (Linacs) for radiotherapy, called MR-Linacs, often require …
scanners and Linear Accelerators (Linacs) for radiotherapy, called MR-Linacs, often require …
[HTML][HTML] Patient-specific daily updated deep learning auto-segmentation for MRI-guided adaptive radiotherapy
Z Li, W Zhang, B Li, J Zhu, Y Peng, C Li, J Zhu… - Radiotherapy and …, 2022 - Elsevier
Abstract Background and purpose Deep Learning (DL) technique has shown great potential
but still has limited success in online contouring for MR-guided adaptive radiotherapy …
but still has limited success in online contouring for MR-guided adaptive radiotherapy …
Plan quality in radiotherapy treatment planning–Review of the factors and challenges
A high‐quality treatment plan aims to best achieve the clinical prescription, balancing high
target dose to maximise tumour control against sufficiently low organ‐at‐risk dose for …
target dose to maximise tumour control against sufficiently low organ‐at‐risk dose for …
[HTML][HTML] Automatic contour refinement for deep learning auto-segmentation of complex organs in MRI-guided adaptive radiation therapy
Purpose Fast and accurate auto-segmentation on daily images is essential for magnetic
resonance imaging (MRI)–guided adaptive radiation therapy (ART). However, the state-of …
resonance imaging (MRI)–guided adaptive radiation therapy (ART). However, the state-of …
Potential of deep learning in quantitative magnetic resonance imaging for personalized radiotherapy
Quantitative magnetic resonance imaging (qMRI) has been shown to provide many potential
advantages for personalized adaptive radiotherapy (RT). Deep learning models have …
advantages for personalized adaptive radiotherapy (RT). Deep learning models have …
Real-time 4D MRI using MR signature matching (MRSIGMA) on a 1.5 T MR-Linac system
Objective. To develop real-time 4D MRI using MR signature matching (MRSIGMA) for
volumetric motion imaging in patients with pancreatic cancer on a 1.5 T MR-Linac system …
volumetric motion imaging in patients with pancreatic cancer on a 1.5 T MR-Linac system …
Investigation of autosegmentation techniques on T2‐weighted MRI for off‐line dose reconstruction in MR‐linac workflow for head and neck cancers
BA McDonald, CE Cardenas, N O'Connell… - Medical …, 2024 - Wiley Online Library
Background In order to accurately accumulate delivered dose for head and neck cancer
patients treated with the Adapt to Position workflow on the 1.5 T magnetic resonance …
patients treated with the Adapt to Position workflow on the 1.5 T magnetic resonance …