Unsupervised 4D myocardium segmentation with a Markov Random Field based deformable model.
Lucilio Cordero-GrandeGonzalo Vegas-Sánchez-FerreroPablo Casaseca-de-la-HigueraJ. Alberto San-Román-CalvarAna Revilla-OrodeaMarcos Martín-FernándezCarlos Alberola-LópezPublished in: Medical Image Anal. (2011)
Keyphrases
- deformable models
- shape prior
- medical images
- image segmentation
- displacement field
- volumetric images
- statistical shape
- medical image analysis
- deformable contour
- accurate segmentation
- image analysis
- object boundaries
- level set
- segmentation algorithm
- atlas construction
- segmentation result
- object segmentation
- snake model
- automatic segmentation
- external force
- medical imaging
- magnetic resonance images
- level set method
- segmentation method
- active appearance models
- fully automatic
- surface meshes
- shape constraints
- region growing
- ct images
- graph cuts
- prior shape information
- mass spring
- anatomical structures
- mri images
- statistical shape model
- imaging modalities
- active shape model
- soft tissue
- computer vision
- computed tomography
- active contour model
- image processing