3D PET image reconstruction based on the maximum likelihood estimation method (MLEM) algorithm.
Artur SlomskiZbigniew RudyTomasz BednarskiPiotr BialasEryk CzerwinskiLukasz KaplonAndrzej KochanowskiGrzegorz KorcylJakub KowalPawel KowalskiTomasz KozikWojciech KrzemienMarcin MolendaPawel MoskalSzymon NiedzwieckiMarek PalkaMonika PawlikLech RaczynskiPiotr SalaburaNeha Gupta-SharmaMichal SilarskiJerzy SmyrskiAdam StrzeleckiWojciech WislickiMarcin ZielinskiNatalia ZonPublished in: Bio Algorithms Med Syst. (2014)
Keyphrases
- image reconstruction
- maximum likelihood estimation
- reconstruction method
- em algorithm
- artifact free
- reconstruction process
- expectation maximization
- parameter estimation
- image reconstruction algorithms
- back projection
- computational complexity
- wiener filtering
- objective function
- detection algorithm
- k means
- energy function
- reconstructed image
- poisson noise
- compressed sensing
- probabilistic model
- emission tomography
- bayesian framework
- emission computed tomography
- radon transform
- machine learning
- density function
- maximum a posteriori
- maximum likelihood
- gaussian mixture model
- mean shift
- graph cuts
- regularized least squares
- markov random field
- higher order
- pairwise
- bayesian networks
- similarity measure
- computer vision