Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21489
Title: Minimum cross-entropy reconstruction of PET images with anatomically based anisotropic median-diffusion filtering
Authors: Chan, C
Fulton, R
Cai, W
Feng, D
Meikle, S
Keywords: Computerised tomography
Diagnostic radiography
Entropy
Image reconstruction
Image registration
Medical image processing
Phantoms
Positron emission tomography
Smoothing methods
Issue Date: 2007
Publisher: IEEE
Source: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007 : EMBS 2007, 22-26 August 2007, Lyon, p. 6527-6530 How to cite?
Abstract: We propose a spatially-variant anisotropic median-diffusion filter prior aided by anatomical knowledge for PET reconstruction. The anisotropic median-diffusion filter is applied locally to an anatomical region which is defined from a co-registered CT image. The individually smoothed regions are then combined to form a prior term in the minimum cross-entropy reconstruction algorithm. A simulated PET thorax phantom with lesions was investigated in terms of bias and contrast versus noise tradeoffs. Compared with MLEM and three other maximum a posteriori (MAP)-like reconstruction algorithms, the proposed algorithm demonstrated better bias-noise tradeoff except when the lesion was close to an anatomical boundary and better contrast-noise tradeoff in all cases.
URI: http://hdl.handle.net/10397/21489
ISBN: 978-1-4244-0787-3
ISSN: 1557-170X
DOI: 10.1109/IEMBS.2007.4353855
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