Automatic estimation of brain parenchymal fraction in patients with multple sclerosis: a comparison between synthetic MRI and an established automated brain segmentation software based on FSL.
Ilyas YaziciBritta MatuscheBarbara BellenbergTheodoros LadopoulosRalf GoldRuth SchneiderCarsten LukasPublished in: Neuroradiology (2023)
In summary, BPF based on data from SyMRI and FSL-SIENAX is not directly transferable because an overestimation and higher variability of SyMRI values were observed. However, the consistency and correlations between the two methods were satisfactory, and SyMRI was suitable to quantify disease-specific atrophy in MS.
Keyphrases
- deep learning
- resting state
- white matter
- machine learning
- multiple sclerosis
- functional connectivity
- mass spectrometry
- magnetic resonance imaging
- convolutional neural network
- cerebral ischemia
- electronic health record
- artificial intelligence
- big data
- data analysis
- computed tomography
- brain injury
- temporal lobe epilepsy