Segmentation of the proximal femur in radial MR scans using a random forest classifier and deformable model registration.
Dimitrios DamopoulosTill D. LerchFlorian SchmaranzerMoritz TannastChristophe ChênesGuoyan ZhengJérôme SchmidPublished in: Int. J. Comput. Assist. Radiol. Surg. (2019)
Keyphrases
- deformable models
- medical images
- shape prior
- medical image analysis
- atlas construction
- anatomical structures
- image segmentation
- clinical applications
- magnetic resonance
- fluoroscopic images
- soft tissue
- mr images
- image registration
- contrast enhanced
- medical imaging
- displacement field
- carotid artery
- image analysis
- object boundaries
- ct images
- nonrigid registration
- imaging modalities
- surface model
- image intensity
- magnetic resonance images
- computed tomography
- patient specific
- pet images
- point distribution model
- three dimensional
- surface registration
- magnetic resonance imaging
- segmentation algorithm
- segmentation method
- level set
- accurate segmentation
- registration accuracy
- surface meshes
- computer vision
- image guided
- deformation field
- active shape model
- region growing
- minimally invasive
- brain tumors
- registration errors
- active appearance models
- image processing
- active contours
- graph cuts