[HTML][HTML] In vivo methods and applications of xenon-129 magnetic resonance
Hyperpolarised gas lung MRI using xenon-129 can provide detailed 3D images of the
ventilated lung airspaces, and can be applied to quantify lung microstructure and detailed …
ventilated lung airspaces, and can be applied to quantify lung microstructure and detailed …
The future of MRI in radiation therapy: Challenges and opportunities for the MR community
RJ Goodburn, MEP Philippens… - Magnetic resonance …, 2022 - Wiley Online Library
Radiation therapy is a major component of cancer treatment pathways worldwide. The main
aim of this treatment is to achieve tumor control through the delivery of ionizing radiation …
aim of this treatment is to achieve tumor control through the delivery of ionizing radiation …
The VAMPIRE challenge: a multi‐institutional validation study of CT ventilation imaging
Purpose CT ventilation imaging (CTVI) is being used to achieve functional avoidance lung
cancer radiation therapy in three clinical trials (NCT02528942, NCT02308709 …
cancer radiation therapy in three clinical trials (NCT02528942, NCT02308709 …
Chronic obstructive pulmonary disease: thoracic CT texture analysis and machine learning to predict pulmonary ventilation
Background Fixed airflow limitation and ventilation heterogeneity are common in chronic
obstructive pulmonary disease (COPD). Conventional noncontrast CT provides airway and …
obstructive pulmonary disease (COPD). Conventional noncontrast CT provides airway and …
Large-scale investigation of deep learning approaches for ventilated lung segmentation using multi-nuclear hyperpolarized gas MRI
JR Astley, AM Biancardi, PJC Hughes, H Marshall… - Scientific Reports, 2022 - nature.com
Respiratory diseases are leading causes of mortality and morbidity worldwide. Pulmonary
imaging is an essential component of the diagnosis, treatment planning, monitoring, and …
imaging is an essential component of the diagnosis, treatment planning, monitoring, and …
Deep learning-based computed tomography perfusion mapping (DL-CTPM) for pulmonary CT-to-perfusion translation
Purpose Our purpose was to develop a deep learning–based computed tomography (CT)
perfusion mapping (DL-CTPM) method that synthesizes lung perfusion images from CT …
perfusion mapping (DL-CTPM) method that synthesizes lung perfusion images from CT …
Pulmonary ventilation maps generated with free-breathing proton MRI and a deep convolutional neural network
Background Hyperpolarized noble gas MRI helps measure lung ventilation, but clinical
translation remains limited. Free-breathing proton MRI may help quantify lung function using …
translation remains limited. Free-breathing proton MRI may help quantify lung function using …
Assessment of the influence of lung inflation state on the quantitative parameters derived from hyperpolarized gas lung ventilation MRI in healthy volunteers
In this study, the effect of lung volume on quantitative measures of lung ventilation was
investigated using MRI with hyperpolarized 3He and 129Xe. Six volunteers were imaged …
investigated using MRI with hyperpolarized 3He and 129Xe. Six volunteers were imaged …
PhysVENeT: a physiologically-informed deep learning-based framework for the synthesis of 3D hyperpolarized gas MRI ventilation
JR Astley, AM Biancardi, H Marshall, LJ Smith… - Scientific Reports, 2023 - nature.com
Functional lung imaging modalities such as hyperpolarized gas MRI ventilation enable
visualization and quantification of regional lung ventilation; however, these techniques …
visualization and quantification of regional lung ventilation; however, these techniques …
Deep learning in structural and functional lung image analysis
The recent resurgence of deep learning (DL) has dramatically influenced the medical
imaging field. Medical image analysis applications have been at the forefront of DL research …
imaging field. Medical image analysis applications have been at the forefront of DL research …