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Partial volume correction for improved PET quantification in (18)F-NaF imaging of atherosclerotic plaques

BACKGROUND: Accurate quantification of plaque imaging using (18)F-NaF PET requires partial volume correction (PVC). METHODS: PVC of PET data was implemented by the use of a local projection (LP) method. LP-based PVC was evaluated with an image quality (NEMA) and with a thorax phantom with “plaque-ty...

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Detalles Bibliográficos
Autores principales: Cal-Gonzalez, Jacobo, Li, Xiang, Heber, Daniel, Rausch, Ivo, Moore, Stephen C., Schäfers, Klaus, Hacker, Marcus, Beyer, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153866/
https://www.ncbi.nlm.nih.gov/pubmed/28176255
http://dx.doi.org/10.1007/s12350-017-0778-2
Descripción
Sumario:BACKGROUND: Accurate quantification of plaque imaging using (18)F-NaF PET requires partial volume correction (PVC). METHODS: PVC of PET data was implemented by the use of a local projection (LP) method. LP-based PVC was evaluated with an image quality (NEMA) and with a thorax phantom with “plaque-type” lesions of 18-36 mL. The validated PVC method was then applied to a cohort of 17 patients, each with at least one plaque in the carotid or ascending aortic arteries. In total, 51 calcified (HU > 110) and 16 non-calcified plaque lesions (HU < 110) were analyzed. The lesion-to-background ratio (LBR) and the relative change of LBR (ΔLBR) were measured on PET. RESULTS: Following PVC, LBR of the spheres (NEMA phantom) was within 10% of the original values. LBR of the thoracic lesions increased by 155% to 440% when the LP-PVC method was applied to the PET images. In patients, PVC increased the LBR in both calcified [mean = 78% (−8% to 227%)] and non-calcified plaques [mean = 41%, (−9%-104%)]. CONCLUSIONS: PVC helps to improve LBR of plaque-type lesions in both phantom studies and clinical patients. Better results were obtained when the PVC method was applied to images reconstructed with point spread function modeling. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s12350-017-0778-2) contains supplementary material, which is available to authorized users.