| An MR image-guided, voxel-based partial volume correction method for PET images. | |
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MedLine Citation:
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PMID: 22225287 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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PURPOSE: Partial volume effect in positron emission tomography (PET) can cause incorrect quantification of radiopharmaceutical uptake in functional imaging. A PET partial volume correction method is presented to attenuate partial volume blurring and to yield voxel-based corrected PET images. METHODS: By modeling partial volume effect as a convolution of point spread function of the PET scanner, the reconstructed PET images are corrected by iterative deconvolution with an edge-preserving smoothness constraint. The constraint is constructed to restore discontinuities extracted from coregistered MR images but maintains the smoothness in radioactivity distribution. The correction is implemented in a Bayesian deconvolution framework and is solved by a conjugate gradient method. The performance of the method was compared with the geometric transfer matrix (GTM) method on a simulated dataset. The method was evaluated on synthesized brain FDG-PET data and phantom MRI-PET experiments. RESULTS: The true PET activity of objects with a size of greater than the full-width at half maximum of the point spread function has been effectively restored in the simulated data. The partial volume correction method is quantitatively comparable to the GTM method. For synthesized FDG-PET with true activity 0 μci/cc for cerebrospinal fluid (CSF), 228 μci/cc for white matter (WM), and 621 μci/cc for gray matter (GM), the method has improved the radioactivity quantification from 186 ± 16 μci/cc to 30 ± 7 μci/cc in CSF, 317 ± 15 μci/cc to 236 ± 10 μci/cc for WM, 438 ± 4 μci/cc to 592 ± 5 μci/cc for GM. Both visual and quantitative assessments show improvement of partial volume correction in the synthesized and phantom experiments. CONCLUSIONS: The partial volume correction method improves the quantification of PET images. The method is comparable to the GTM method but does not need MR image segmentation or prior tracer distribution information. The voxel-based method can be particularly useful for combined PET/MRI studies. |
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Authors:
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Hesheng Wang; Baowei Fei |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Medical physics Volume: 39 ISSN: 0094-2405 ISO Abbreviation: Med Phys Publication Date: 2012 Jan |
Date Detail:
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Created Date: 2012-01-09 Completed Date: 2012-04-17 Revised Date: 2012-05-14 |
Medline Journal Info:
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Nlm Unique ID: 0425746 Medline TA: Med Phys Country: United States |
Other Details:
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Languages: eng Pagination: 179-95 Citation Subset: IM |
Affiliation:
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Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia 30329, USA. |
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Artifacts Brain / anatomy & histology, radionuclide imaging* Humans Image Enhancement / methods* Image Interpretation, Computer-Assisted / methods* Imaging, Three-Dimensional / methods* Magnetic Resonance Imaging / methods* Positron-Emission Tomography / methods* Reproducibility of Results Sensitivity and Specificity |
| Grant Support | |
ID/Acronym/Agency:
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P50CA128301/CA/NCI NIH HHS; P50CA128613/CA/NCI NIH HHS; R01 CA156775/CA/NCI NIH HHS; R01CA156775/CA/NCI NIH HHS; UL1 RR015008/RR/NCRR NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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