Automated, fast, robust brain extraction on contrast-enhanced T1-weighted MRI in presence of brain tumors: an optimized model based on multi-center datasets.
Yuen TengChaoyue ChenXin ShuFumin ZhaoLei ZhangJianguo XuPublished in: European radiology (2023)
• The nnU-Net-based model is capable of segmenting significant superficial structures in brain extraction. • The proposed model showed feasible performance, regardless of pathological types or tumor characteristics. • The model showed generalization in the public datasets.
Keyphrases
- contrast enhanced
- magnetic resonance imaging
- magnetic resonance
- diffusion weighted
- healthcare
- diffusion weighted imaging
- white matter
- emergency department
- mental health
- machine learning
- multiple sclerosis
- resting state
- functional connectivity
- brain injury
- mass spectrometry
- electronic health record
- blood brain barrier
- dual energy