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Eur Radiol ; 20(8): 1868-77, 2010 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-20306084

RESUMO

OBJECTIVE: We evaluate a fully data-driven method for the combined recovery and motion blur correction of small solitary pulmonary nodules (SPNs) in F-18 fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT). METHODS: The SPN was segmented in the low-dose CT using a variable Hounsfield threshold and morphological constraints. The combined effect of limited spatial resolution and motion blur in the SPN's PET image was then modelled by an effective Gaussian point-spread function (psf). Both isotropic and non-isotropic psfs were used. To validate the method, PET/CT measurements of the NEMA/IEC spheres phantom were performed. The method was applied to 50 unselected SPNs or=30%) SUV increase in 47 SPNs (94%). CONCLUSIONS: Correction of both recovery and motion blur is mandatory for accurate SUV quantification of SPNs.


Assuntos
Algoritmos , Artefatos , Fluordesoxiglucose F18 , Aumento da Imagem/métodos , Interpretação de Imagem Assistida por Computador/métodos , Neoplasias Pulmonares/diagnóstico , Nódulo Pulmonar Solitário/diagnóstico , Tomografia Computadorizada por Raios X/métodos , Idoso , Feminino , Humanos , Masculino , Movimento (Física) , Imagens de Fantasmas , Compostos Radiofarmacêuticos , Reprodutibilidade dos Testes , Sensibilidade e Especificidade
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