Semi-automatic aortic valve tract segmentation in 3D cardiac magnetic resonance images using shape-based B-spline explicit active surfaces.
Sandro F. QueirosPedro MoraisJaime C. FonsecaJan D'hoogeJoão L. VilaçaPublished in: Medical Imaging: Image Processing (2019)
Keyphrases
- semi automatic
- magnetic resonance images
- b spline
- medical images
- fully automatic
- white matter
- level set
- brain tumors
- diffusion tensor
- medical imaging
- magnetic resonance imaging
- mr images
- control points
- displacement field
- mri data
- deformable registration
- left ventricle
- segmentation algorithm
- affine transformation
- basis functions
- gold standard
- intensity distribution
- medical image analysis
- image segmentation
- shape prior
- accurate segmentation
- least squares
- high resolution
- active contours
- curve fitting
- magnetic resonance
- surface reconstruction
- computed tomography
- segmentation method
- anatomical structures
- low contrast
- range data
- image guided
- imaging modalities
- nonrigid registration
- deformation field
- image intensity
- ct images
- image analysis
- three dimensional
- brain images
- deformable models
- remote sensing
- registration accuracy
- energy function
- heart disease