Robustness of anatomically guided pixel-by-pixel algorithms for partial volume effect correction in positron emission tomography.

D Strul; B Bendriem

doi:10.1097/00004647-199905000-00009

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Robustness of anatomically guided pixel-by-pixel algorithms for partial volume effect correction in positron emission tomography.

D Strul·B Bendriem

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Abstract

Several algorithms have been proposed to improve positron emission tomography quantification by combining anatomical and functional information in a pixel-by-pixel correction scheme. The precision of these methods when applied to real data depends on the precision of the manifold correction steps, such as full-width half-maximum modeling, magnetic resonance imaging-positron emission tomography registration, tissue segmentation, or background activity estimation. A good understanding of the influence of these parameters thus is critical to the effective use of the algorithms. In the current article, the authors present a monodimensional model that allows a simple theoretical and experimental evaluation of correction imprecision. The authors then assess correction robustness in three dimensions with computer simulations, and evaluate the validity of regional SD as a correction performance criterion.

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Algorithms Artifacts Brain Computer Simulation Image Processing, Computer-Assisted Models, Anatomic Models, Neurological Phantoms, Imaging Reproducibility of Results Tomography, Emission-Computed Journal Article

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D Strul, B Bendriem. 1999. Robustness of anatomically guided pixel-by-pixel algorithms for partial volume effect correction in positron emission tomography.. https://doi.org/10.1097/00004647-199905000-00009

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