DocumentCode :
1857405
Title :
Minimum Cross-entropy Reconstruction of PET Images with Anatomically Based Anisotropic Median-Diffusion Filtering
Author :
Chung Chan ; Fulton, R. ; Weidong Cai ; Feng, D.D. ; Meikle, S.
Author_Institution :
Univ. of Sydney, Sydney
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
6527
Lastpage :
6530
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.
Keywords :
computerised tomography; diagnostic radiography; entropy; image reconstruction; image registration; medical image processing; phantoms; positron emission tomography; smoothing methods; PET images; PET thorax phantom; anatomical boundary; anatomical region; co-registered CT image; image smoothing; minimum cross-entropy reconstruction; spatially-variant anisotropic median-diffusion filter; Anisotropic magnetoresistance; Computed tomography; Filtering; Filters; Image reconstruction; Imaging phantoms; Lesions; Positron emission tomography; Reconstruction algorithms; Thorax; Algorithms; Anisotropy; Image Processing, Computer-Assisted; Positron-Emission Tomography; Thorax;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
ISSN :
1557-170X
Print_ISBN :
978-1-4244-0787-3
Type :
conf
DOI :
10.1109/IEMBS.2007.4353855
Filename :
4353855
Link To Document :
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