Markov chain Monte Carlo (MCMC) based ideal observer estimation using a parameterized phantom and a pre-calculated dataset

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6515, Issue , 2007, Pages

  He, Xin ^a   Caffo, Brian S ^b   Frey, Eric C ^a  

^a JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Ideal observer; Markov chain Monte Carlo (MCMC)

Indexed keywords

IMAGE PERCEPTION; PARAMETERIZED PHANTOM; PRE-CALCULATED DATASETS; SIMULATED IMAGING;

BIOLOGICAL ORGANS; COMPUTATIONAL COMPLEXITY; IMAGING SYSTEMS; MARKOV PROCESSES; MATHEMATICAL MODELS; MONTE CARLO METHODS; PARAMETERIZATION;

PATTERN RECOGNITION;

EID: 35148864791     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.710173     Document Type: Conference Paper

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