Robustness of Anatomically Guided Pixel-by-Pixel Algorithms for Partial Volume Effect Correction in Positron Emission Tomography
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, s...
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| Veröffentlicht in: | Journal of cerebral blood flow and metabolism 1999-05, Vol.19 (5), p.547-559 |
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| container_title | Journal of cerebral blood flow and metabolism |
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| creator | Strul, Daniel Bendriem, Bernard |
| description | 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. |
| doi_str_mv | 10.1097/00004647-199905000-00009 |
| format | Article |
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| ispartof | Journal of cerebral blood flow and metabolism, 1999-05, Vol.19 (5), p.547-559 |
| issn | 0271-678X 1559-7016 |
| language | eng |
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| source | MEDLINE; SAGE Complete |
| subjects | Algorithms Biological and medical sciences Brain - diagnostic imaging Computer Simulation Image Processing, Computer-Assisted Investigative techniques, diagnostic techniques (general aspects) Medical sciences Models, Anatomic Models, Neurological Nervous system Phantoms, Imaging Radionuclide investigations Reproducibility of Results Tomography, Emission-Computed |
| title | Robustness of Anatomically Guided Pixel-by-Pixel Algorithms for Partial Volume Effect Correction in Positron Emission Tomography |
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