Reliability of dynamic contrast-enhanced magnetic resonance imaging data in primary brain tumours: a comparison of Tofts and shutter speed models.
Marianna IngleseKatherine L OrdidgeLesley HoneyfieldTara D BarwickEric O AboagyeAdam D WaldmanMatthew Grech-SollarsPublished in: Neuroradiology (2019)
The majority of studies quantifying DCE-MRI data in brain tumours only consider a single model and whole tumour statistics for the output parameters. Appropriate model selection, considering tissue biology and its effects on blood brain barrier permeability and exchange conditions, together with an analysis on the reliability and stability of the calculated parameters, is critical in processing robust brain tumour DCE-MRI data.
Keyphrases
- contrast enhanced
- magnetic resonance imaging
- blood brain barrier
- cerebral ischemia
- resting state
- electronic health record
- white matter
- big data
- computed tomography
- diffusion weighted imaging
- functional connectivity
- magnetic resonance
- subarachnoid hemorrhage
- endothelial cells
- brain injury
- machine learning
- multiple sclerosis
- data analysis
- case control