Literature DB >> 32537528

Intrascanner Reproducibility of an SPM-based Head MR-based Attenuation Correction Method.

David Izquierdo-Garcia1, Mark C Eldaief1, Mark G Vangel1, Ciprian Catana1.   

Abstract

Recently, an exhaustive examination of 11 state of the art MR-based attenuation correction (AC) concluded that there are currently a few methods showing similar results compared to the gold-standard, CT-based AC. While the study presented a thorough portfolio of metrics to quantify accuracy (bias) and quality, it lacked one of the most important metrics to quantify robustness that is critical for its clinical applicability: intrascanner reproducibility (repeatability). In this work, we provide for the first time a study of the repeatability of one of the outperforming brain MR-based AC methods: the SPM-based pseudo-CT approach. 22 subjects undergoing 3 18F-FDG PET/MRI visits within 2 months were retrospectively analyzed in this study. Pseudo-CT mu-maps were obtained from the coregistered MR images for all 3 visits and the PET data from visit 1 was reconstructed using all three mu-maps. Relative changes (RC), Intraclass correlation coefficient (ICC), Reproducibility coefficient (RDC95%) and Bland-Altman Limits of Agreement (LoA) were used to measure repeatability. Voxel-based and ROI-based results showed that absolute RC for the reconstructed PET images are within ~2%. The brain cortex and the cerebellum were the regions with the largest variability (~3%). The differences across visits were not statistically significant (p=0.90). In conclusion this study shows for the first time the repeatability of the SPM-based pseudo-CT approach for brain MR-AC. These results, in addition to the ease of implementation and the quality and robustness previously demonstrated, confer this SPM-based method an ideal candidate for routine brain PET/MRI research and clinical studies.

Entities:  

Keywords:  MRI; PET; PET/MRI; attenuation correction; pseudo-CT; repeatability

Year:  2018        PMID: 32537528      PMCID: PMC7291765          DOI: 10.1109/trpms.2018.2868946

Source DB:  PubMed          Journal:  IEEE Trans Radiat Plasma Med Sci        ISSN: 2469-7303


  40 in total

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2.  MR-based attenuation correction for torso-PET/MR imaging: pitfalls in mapping MR to CT data.

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3.  MRI-based attenuation correction for PET/MRI: a novel approach combining pattern recognition and atlas registration.

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Journal:  J Nucl Med       Date:  2008-10-16       Impact factor: 10.057

4.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data.

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Journal:  IEEE Trans Med Imaging       Date:  1998-02       Impact factor: 10.048

Review 5.  Method agreement analysis: a review of correct methodology.

Authors:  P F Watson; A Petrie
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6.  Attenuation correction synthesis for hybrid PET-MR scanners.

Authors:  Ninon Burgos; Manuel Jorge Cardoso; Marc Modat; Stefano Pedemonte; John Dickson; Anna Barnes; John S Duncan; David Atkinson; Simon R Arridge; Brian F Hutton; Sebastien Ourselin
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7.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

8.  Reproducibility of metabolic measurements in malignant tumors using FDG PET.

Authors:  W A Weber; S I Ziegler; R Thödtmann; A R Hanauske; M Schwaiger
Journal:  J Nucl Med       Date:  1999-11       Impact factor: 10.057

9.  Tissue classification as a potential approach for attenuation correction in whole-body PET/MRI: evaluation with PET/CT data.

Authors:  Axel Martinez-Möller; Michael Souvatzoglou; Gaspar Delso; Ralph A Bundschuh; Christophe Chefd'hotel; Sibylle I Ziegler; Nassir Navab; Markus Schwaiger; Stephan G Nekolla
Journal:  J Nucl Med       Date:  2009-03-16       Impact factor: 10.057

10.  A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients.

Authors:  Claes N Ladefoged; Ian Law; Udunna Anazodo; Keith St Lawrence; David Izquierdo-Garcia; Ciprian Catana; Ninon Burgos; M Jorge Cardoso; Sebastien Ourselin; Brian Hutton; Inés Mérida; Nicolas Costes; Alexander Hammers; Didier Benoit; Søren Holm; Meher Juttukonda; Hongyu An; Jorge Cabello; Mathias Lukas; Stephan Nekolla; Sibylle Ziegler; Matthias Fenchel; Bjoern Jakoby; Michael E Casey; Tammie Benzinger; Liselotte Højgaard; Adam E Hansen; Flemming L Andersen
Journal:  Neuroimage       Date:  2016-12-14       Impact factor: 6.556

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  1 in total

1.  MR-based Attenuation Correction for Brain PET Using 3D Cycle-Consistent Adversarial Network.

Authors:  Kuang Gong; Jaewon Yang; Peder E Z Larson; Spencer C Behr; Thomas A Hope; Youngho Seo; Quanzheng Li
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2020-07-03
  1 in total

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