A retrospective 4D-MRI based on 2D diaphragm profiles for lung cancer patients.
Danny LeeSiyong KimJatinder PaltaBenjamin LewisPaul J KeallTaeho KimPublished in: Journal of medical imaging and radiation oncology (2019)
The diaphragm profiles were utilized to reconstruct 4D-MR images with spatial reliability and a fixed scan time under FB and GB. Our method can provide reliable 4D information of thoracic and abdominal regions for MRI-guided radiotherapy.
Keyphrases
- contrast enhanced
- end stage renal disease
- magnetic resonance imaging
- computed tomography
- ejection fraction
- newly diagnosed
- chronic kidney disease
- mechanical ventilation
- early stage
- diffusion weighted imaging
- prognostic factors
- deep learning
- peritoneal dialysis
- spinal cord
- healthcare
- radiation induced
- squamous cell carcinoma
- machine learning
- patient reported outcomes
- health information
- convolutional neural network
- social media
- optical coherence tomography
- extracorporeal membrane oxygenation