Synthetic MRI of Preterm Infants at Term-Equivalent Age: Evaluation of Diagnostic Image Quality and Automated Brain Volume Segmentation.
Maurizio TosiMaarten NaeyaertN WattéGert-Jan AllemeerschSteven P M J RaeymaeckersJeroen DudinkJohan de MeyHubert RaeymaekersPublished in: AJNR. American journal of neuroradiology (2020)
Image quality was good or excellent for most conventional and synthetic images. The 2 methods did not differ significantly regarding image quality or diagnostic performance for focal and cystic WM lesions. Dice similarity coefficients had excellent overlap for intracranial volume (97.3%) and brain parenchymal volume (94.3%), and moderate overlap for CSF (75.6%). Bland-Altman plots demonstrated a small systematic bias in all cases (1.7%-5.9%) CONCLUSIONS: Synthetic T1WI and T2WI sequences may complement or replace conventional images in neonatal imaging, and robust synthetic volumetric results are accessible from a clinical workstation in less than 1 minute. Via the above-described methods, volume assessments could be routinely used in daily clinical practice.
Keyphrases
- image quality
- preterm infants
- computed tomography
- deep learning
- convolutional neural network
- dual energy
- clinical practice
- magnetic resonance imaging
- resting state
- white matter
- machine learning
- high resolution
- low birth weight
- contrast enhanced
- functional connectivity
- high intensity
- multiple sclerosis
- cerebrospinal fluid
- brain injury
- cerebral ischemia
- photodynamic therapy
- diffusion weighted imaging
- single cell
- blood brain barrier