Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25061
Title: A numerical observer study of MAP with anatomical and functional priors for lesion detection
Authors: Chan, C
Fulton, R
Feng, D
Cai, W
Meikle, S
Keywords: Cancer
Image reconstruction
Image segmentation
Maximum likelihood estimation
Medical image processing
Positron emission tomography
Tumours
Issue Date: 2007
Publisher: IEEE
Source: IEEE Nuclear Science Symposium Conference Record, 2007 : NSS '07, October 26 2007-November 3 2007, Honolulu, HI, p. 3237-3240 How to cite?
Abstract: In a previous study, we described the use of a functional prior in addition to an anatomical prior to improve the contrast and quantification of lesions in PET imaging. The functional prior is specified by applying a threshold to a preliminary reconstructed PET image. The segmented regions are quarantined from the regularization during reconstruction, resulting in a form of adaptive smoothing. One additional parameter was added to control the weighting of the functional prior. We call this dual-prior technique quarantine maximum a posteriori MAP reconstruction (QMAP). In this study, we used the channelized Hotelling observer (CHO) to investigate the effect of QMAP on lesion detectability. The results show that the inclusion of a functional prior in addition to an anatomical prior improves the performance of MAP reconstruction in a lesion detection task compared with the use of anatomical or smoothing priors on their own.
URI: http://hdl.handle.net/10397/25061
ISBN: 978-1-4244-0922-8
978-1-4244-0923-5 (E-ISBN)
ISSN: 1095-7863
DOI: 10.1109/NSSMIC.2007.4436829
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