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

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

Author(s):

X. He ( Johns Hopkins School of Medicine (USA) )
B. S. Caffo ( Johns Hopkins Bloomberg School of Public Health (USA) )
E. C. Frey ( Johns Hopkins School of Medicine (USA) )

Publication title:

Medical imaging 2007, Image perception, observer performance, and technology assessment : 21-22 February 2007, San Diego, California, USA

Title of ser.:

Proceedings of SPIE - the International Society for Optical Engineering

Ser. no.:

6515

Pub. Year:

2007

Pub. info.:

Bellingham, Wash.: SPIE - The International Society of Optical Engineering

ISSN:

16057422

ISBN:

9780819466334 [0819466336]

Language:

English

Call no.:

P63600/6515

Type:

Conference Proceedings

Details

TDL ID:	ZA00046822
Series ID:	PA00000029
Conf. info. (Name):	Medical Imaging
Conf. info. (Number):	2007
Conf. info. (Venue):	San Diego, California, USA
Conf. info. (Date):	2007.02.21-2007.02.22

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