Quantitative effects of using thin-plate priors in Bayesian SPECT reconstruction

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3170, Issue , 1997, Pages 252-263

  Lee, S J ^a   Hsiao, I T ^b   Gindi, G R ^b  

^a PaiChai University   (South Korea)

^b STONY BROOK UNIVERSITY   (United States)

Author keywords

Bayesian reconstruction; Gibbs distribution; Hyperparameter; MAP; Thin plate

Indexed keywords

ALGORITHMS; BAYESIAN NETWORKS; CONFORMAL MAPPING; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; NEURAL NETWORKS; REPAIR; RESTORATION;

A POSTERIORI; BAYESIAN; BAYESIAN FRAMEWORKS; BAYESIAN RECONSTRUCTION; BIAS AND VARIANCES; EXPECTATION MAXIMIZATIONS; GIBBS DISTRIBUTION; HYPERPARAMETER; HYPERPARAMETER ESTIMATIONS; ITERATED CONDITIONAL MODES; LARGE RANGES; LOW BIASES; MAP APPROACHES; OBJECTIVE FUNCTIONS; PRIOR DISTRIBUTIONS; PRIORI INFORMATIONS; QUANTITATIVE EFFECTS; SIMPLE MODIFICATIONS; SMOOTHING PARAMETERS; SPATIAL DERIVATIVES; THIN PLATE;

OPTIMIZATION;

EID: 0040392445     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.292826     Document Type: Conference Paper

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