Random Segmentation Based Principal Component Analysis to Remove Residual MR Gradient Artifact in the Simultaneous EEG/fMRI: A Preliminary Study.
Hyun-Chul KimJong-Hwan LeePublished in: ICONIP (3) (2013)
Keyphrases
- principal component analysis
- medical images
- event related
- brain activity
- segmentation algorithm
- magnetic resonance
- segmentation method
- edge detection
- healthy subjects
- level set
- partial volume
- image segmentation
- data analysis
- mr images
- independent component analysis
- functional connectivity
- fully automatic
- principal components
- brain tumors
- human brain
- image gradient
- phase contrast
- mr imaging
- mr brain images
- prostate segmentation
- region growing
- energy function
- image registration
- multiscale
- bias field
- brain tumor segmentation
- deformable registration
- brain images
- eeg signals
- shape prior
- signal processing
- feature space