An SPCNN-GVF-based approach for the automatic segmentation of left ventricle in cardiac cine MR images.
Yurun MaLi WangYide MaMin DongShiqiang DuXiaoguang SunPublished in: Int. J. Comput. Assist. Radiol. Surg. (2016)
Keyphrases
- manual segmentation
- mr images
- short axis
- automatic segmentation
- left ventricle
- active contours
- cardiac magnetic resonance
- magnetic resonance
- brain tissue
- active contour model
- medical images
- accurate segmentation
- magnetic resonance images
- fully automatic
- segmentation algorithm
- image data
- cardiac motion
- left ventricular
- nonrigid registration
- mri data
- ct data
- image segmentation
- energy function
- level set
- brain tumors
- image analysis
- seed points
- shape prior
- fully automated
- segmentation method
- object boundaries
- multiscale
- markov random field
- heart motion