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Publication Detail
Multi atlas-based attenuation correction for brain FDG-PET imaging using a TOF-PET/MR scanner—comparison with clinical single atlas- and CT-based attenuation correction
  • Publication Type:
    Journal article
  • Publication Sub Type:
  • Authors:
    Sekine T, Burgos NF, Warnock G, Huellner M, Buck A, Voert EGW, Cardoso MJ, Hutton BF, Ourselin S, Veit-Haibach P, Delso G
  • Publisher:
    The Society of Nuclear Medicine Inc
  • Journal:
    Journal of Nuclear Medicine
  • Status:
  • Print ISSN:
In this work, we assess the feasibility of attenuation correction (AC) based on a multi atlas-based method (m-Atlas) by comparing it with a clinical AC method (single atlas-based method (s-Atlas)), on a time of flight (TOF)-PET/MRI. Methods: We enrolled 15 patients. The median patient age was 59 years [range 31 to 80]. All patients underwent a clinically indicated whole-body 18F-FDG-PET/CT (GE Healthcare Discovery 690 PET/CT) for staging, re-staging or follow-up of malignant disease. All patients volunteered for an additional PET/MRI scan of the head (GE Healthcare SIGNA PET/MRI) (no additional tracer being injected). For each patient, 3 AC maps were generated. Both s-Atlas and m-Atlas AC maps were generated from the same patient-specific GE-LAVA-FLEX T1-weighted images, being acquired by default on the PET/MRI scanner during the first 18s of the PET scan. S-Atlas AC map was extracted by the PET/MRI scanner, and m-Atlas AC map was created using a web service tool that automatically generates m-Atlas pseudo-CT images. For comparison, the AC map generated by PET/CT was registered and used as gold standard. Using each AC map, PET images were reconstructed from raw data on the TOF-PET/MRI scanner. All PET images were normalized to the SPM5 PET template, and FDG accumulation was quantified in 67 volumes-of-interest (VOIs; automated anatomical labeling (AAL), atlas). Relative (%diff) and absolute differences (|%diff|) between images based on each atlas AC and CT AC were calculated. FDG uptake in all VOIs and generalized merged VOIs were compared using paired t-test and Bland-Altman test. Results: The range of error on m-Atlas in all 1005 VOIs was -4.99%~4.09%. The |%diff| on m-Atlas was improved by about 20% compared to s-Atlas (s-Atlas vs. m-Atlas; 1.49±1.06% vs. 1.21±0.89%, p < 0.01). In generalized VOIs, %diff on m-Atlas in the temporal lobe and cerebellum were significantly smaller (s-Atlas vs. m-Atlas; temporal lobe, 1.49±1.37% vs. -0.37±1.41%, p < 0.01; cerebellum, 1.55±1.97% vs. -1.15±1.72%, p < 0.01) Conclusion: The errors introduced using either s-Atlas or m-Atlas did not exceed 5% in any brain region investigated. When compared to the clinical s-Atlas, m-Atlas is more accurate especially in regions close to the skull base.
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