Estimation of Healthy and Fibrotic Tissue Distributions in DE-CMR Incorporating CINE-CMR in an EM Algorithm.
Susana Merino-CaviedesLucilio Cordero-GrandeM. Teresa Sevilla-RuizAna Revilla-OrodeaM. Teresa Pérez RodríguezCésar Palencia de LaraMarcos Martín-FernándezCarlos Alberola-LópezPublished in: STACOM@MICCAI (2017)
Keyphrases
- em algorithm
- left ventricle
- maximum likelihood estimation
- contrast agent
- parameter estimation
- expectation maximization
- maximum likelihood estimates
- blood flow
- log likelihood function
- short axis
- probability density
- mixture model
- gaussian mixture model
- dce mri
- fully automatic
- density estimation
- maximum likelihood
- likelihood function
- finite mixtures
- mixture distribution
- left ventricular
- generative model
- incomplete data
- expectation maximisation
- map estimation
- gaussian mixture
- mri data
- log likelihood
- accurate segmentation
- update equations
- mixture components
- estimate the model parameters
- probability density function
- maximum a posteriori
- mr images
- hidden variables
- least squares
- probability distribution
- model based clustering
- gaussian distribution
- cardiac motion
- image processing
- nonrigid registration
- closed form
- finite mixture model
- mixture modeling
- random variables
- penalized likelihood