An Automated Pipeline for Quantitative T2* Fetal Body MRI and Segmentation at Low Field.
Kelly PayetteAlena UusJordina Aviles VerderaCarla Avena ZampieriMegan HallLisa StoryMaria DeprezMary A. RutherfordJoseph V. HajnalSébastien OurselinRaphaël Tomi-TricotJana HutterPublished in: MICCAI (7) (2023)
Keyphrases
- brain scans
- medical images
- brain mri
- magnetic resonance imaging
- mri images
- automated segmentation
- medical imaging
- anatomical structures
- magnetic resonance images
- carotid artery
- segmentation algorithm
- level set
- intensity distribution
- image segmentation
- manual segmentation
- ultrasound images
- multiscale
- shape prior
- fully automated
- region growing
- fully automatic
- mr images
- tissue segmentation
- brain tumors
- image analysis
- bias field
- probabilistic atlas
- segmentation accuracy
- accurate segmentation
- brain tumor segmentation
- intra subject
- segmentation method
- qualitative and quantitative
- mri data
- medical image analysis
- brain mr images
- partial volume
- mri scans
- processing pipeline
- brain atlas
- breast mri
- low signal to noise ratio
- energy function
- automated analysis
- human body
- fetal brain
- high dimension