Real-time cardiac surface tracking from sparse samples using subspace clustering and maximum-likelihood linear regressors.
Vimal SinghAhmed H. TewfikPublished in: Medical Imaging: Image Processing (2011)
Keyphrases
- subspace clustering
- real time
- maximum likelihood
- high dimensional
- beating heart
- subspace clusters
- high dimensional data
- subspace projection
- clustering method
- high dimensional feature spaces
- clustering high dimensional data
- tagged mri
- linear subspace
- clustering algorithm
- mixture model
- em algorithm
- cardiac motion
- subgraph mining
- motion tracking
- high dimensionality
- expectation maximization
- particle filter
- dimensionality reduction
- data sets
- low dimensional
- neural network