Segmentation of Hemodynamics from Dynamic-Susceptibility-Contrast Magnetic Resonance Brain Images Using Sequential Independent Component Analysis.
Yu-Te WuHui-Yun ChenChih-I HungYi-Hsuan KaoWan-Yuo GuoTzu-Chen YehJen-Chuen HsiehPublished in: WSCG (Short Papers) (2004)
Keyphrases
- magnetic resonance
- brain images
- independent component analysis
- medical images
- mr brain images
- mr images
- mr brain
- contrast enhanced
- brain tumors
- partial volume
- image slices
- image data
- signal processing
- principal component analysis
- image volumes
- mr imaging
- factor analysis
- deformable registration
- image registration
- brain mr images
- brain imaging
- anatomical structures
- tissue segmentation
- intensity inhomogeneity
- blind source separation
- human brain
- brain tissue
- medical imaging
- segmentation algorithm
- image segmentation
- magnetic resonance images
- multiscale
- magnetic resonance imaging
- mri images
- gray matter
- image analysis
- white matter
- computer vision
- face recognition
- computed tomography