DocumentCode :
1832639
Title :
Evaluating human observer performance for list mode PET using the bootstrap method
Author :
D´Asseler, Yves ; Groiselle, Corinne J. ; Gifford, Howard C. ; Vandenberghe, Stefaan ; Van de Walle, Rik ; Lemahieu, Ignace L. ; Glick, Stephen J.
Author_Institution :
The Ghent, Gent, Belgium
Volume :
5
fYear :
2003
fDate :
19-25 Oct. 2003
Firstpage :
3070
Abstract :
In an LROC (localization receiver operating characteristic) study, a human observer is presented a number of images, of which some contain a signal within a certain region and some do not contain any signal The observer is asked to give a confidence rating as to the probability of the presence of a signal, and to give the most probable location of the signal. A LROC curve can then be fitted. The area under the LROC gives an indication of the observer performance for the given set of images. A large number of images is needed for a human observer study, e.g. 100 for the study itself and 50 as a training set. The simulation or measurement of all of these images is very time consuming and/or impractical. In a previous paper, we proposed the bootstrap method as a means to create a number of list mode files from one simulation, and showed that these files can be used to evaluate the LROC performance of a CNPW numerical observer. In this paper, we investigate whether the bootstrapped images can be used to evaluate human observer performance. We found that human performance was inferior on bootstrapped images compared to noisy images. However, by substituting for the noisy background with a smoothed version of this background, human observer performance becomes comparable to performance with noisy realizations of the images. We can therefore conclude that bootstrapped images, with a smoothed background, can be used as an alternative for noise realizations for human observer studies.
Keywords :
medical image processing; positron emission tomography; sensitivity analysis; bootstrap method; channelized nonprewhitening numerical observer; human observer performance; list mode PET; localization receiver operating characteristic; noisy images; Area measurement; Background noise; Biomedical imaging; Cancer; Fellows; Humans; Image quality; Positron emission tomography; Telephony; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium Conference Record, 2003 IEEE
ISSN :
1082-3654
Print_ISBN :
0-7803-8257-9
Type :
conf
DOI :
10.1109/NSSMIC.2003.1352546
Filename :
1352546
Link To Document :
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