DocumentCode :
617593
Title :
Locally weighted total variation denoising for ringing artifact suppression in pet reconstruction using PSF modeling
Author :
Mikhno, A. ; Angelini, E.D. ; Bing Bai ; Laine, Andrew F.
Author_Institution :
Dept. of Biomed. Eng., Columbia Univ., New York, NY, USA
fYear :
2013
fDate :
7-11 April 2013
Firstpage :
1252
Lastpage :
1255
Abstract :
Iterative reconstruction with point spread function (PSF) modeling improves contrast recovery in positron emission tomography (PET) images, but also introduces ringing artifacts and over enhancement that is contrast and object size dependent. Mitigation of these artifacts is crucial for clinical and research purposes. In this work we introduce a new iterative regularized reconstruction method that incorporates locally-weighted total variation denoising designed to suppress artifacts induced by PSF modeling. The reconstruction method is evaluated on a simulated cylindrical phantom and preliminary results show that ringing artifacts are suppressed while contrast recovery is maintained.
Keywords :
image denoising; image enhancement; image reconstruction; iterative methods; medical image processing; optical transfer function; phantoms; positron emission tomography; PET reconstruction; PSF modeling; image enhancement; iterative regularized reconstruction method; locally weighted total variation denoising; point spread function modeling; positron emission tomography image; ringing artifact suppression; simulated cylindrical phantom; Abstracts; Image reconstruction; Image resolution; MATLAB; Mathematical model; Noise reduction; Visualization; MLEM; PET; Total Variation; image reconstruction; point spread function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
Conference_Location :
San Francisco, CA
ISSN :
1945-7928
Print_ISBN :
978-1-4673-6456-0
Type :
conf
DOI :
10.1109/ISBI.2013.6556758
Filename :
6556758
Link To Document :
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