LOCALLY WEIGHTED TOTAL VARIATION DENOISING FOR RINGING ARTIFACT SUPPRESSION IN PET RECONSTRUCTION USING PSF MODELING.
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.
Department of Biomedical Engineering, Columbia University.
Arthur
A
Mikhno
Department of Biomedical Engineering, Columbia University ; Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Paris, France.
Elsa D
ED
Angelini
Signal and Image Processing Institute, University of Southern California.
Bing
B
Bai
Department of Biomedical Engineering, Columbia University.
Andrew F
AF
Laine
MLEM; PET; Total Variation; image reconstruction; point spread function