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Clinical evaluation of a block sequential regularized expectation maximization reconstruction algorithm in 18F-FDG PET/CT studies.
Sah, Bert-Ram; Stolzmann, Paul; Delso, Gaspar; Wollenweber, Scott D; Hüllner, Martin; Hakami, Yahya A; Queiroz, Marcelo A; Barbosa, Felipe de Galiza; von Schulthess, Gustav K; Pietsch, Carsten; Veit-Haibach, Patrick.
Afiliação
  • Sah BR; Departments of aNuclear Medicine bDiagnostic and Interventional Radiology cNeuroradiology, University Hospital Zurich dUniversity of Zurich, Zurich, Switzerland ePET Clinical Science, GE Healthcare, Waukesha, Wisconsin, USA.
Nucl Med Commun ; 38(1): 57-66, 2017 Jan.
Article em En | MEDLINE | ID: mdl-27755394
ABSTRACT

PURPOSE:

To investigate the clinical performance of a block sequential regularized expectation maximization (BSREM) penalized likelihood reconstruction algorithm in oncologic PET/computed tomography (CT) studies.

METHODS:

A total of 410 reconstructions of 41 fluorine-18 fluorodeoxyglucose-PET/CT studies of 41 patients with a total of 2010 lesions were analyzed by two experienced nuclear medicine physicians. Images were reconstructed with BSREM (with four different ß values) or ordered subset expectation maximization (OSEM) algorithm with/without time-of-flight (TOF/non-TOF) corrections. OSEM reconstruction postfiltering was 4.0 mm full-width at half-maximum; BSREM did not use postfiltering. Evaluation of general image quality was performed with a five-point scale using maximum intensity projections. Artifacts (category 1), image sharpness (category 2), noise (category 3), and lesion detectability (category 4) were analyzed using a four-point scale. Size and maximum standardized uptake value (SUVmax) of lesions were measured by a third reader not involved in the image evaluation.

RESULTS:

BSREM-TOF reconstructions showed the best results in all categories, independent of different body compartments. In all categories, BSREM non-TOF reconstructions were significantly better than OSEM non-TOF reconstructions (P<0.001). In almost all categories, BSREM non-TOF reconstruction was comparable to or better than the OSEM-TOF algorithm (P<0.001 for general image quality, image sharpness, noise, and P=1.0 for artifact). Only in lesion detectability was OSEM-TOF significantly better than BSREM non-TOF (P<0.001). Both BSREM-TOF and BSREM non-TOF showed a decreasing SUVmax with increasing ß values (P<0.001) and TOF reconstructions showed a significantly higher SUVmax than non-TOF reconstructions (P<0.001).

CONCLUSION:

The BSREM reconstruction algorithm showed a relevant improvement compared with OSEM reconstruction in PET/CT studies in all evaluated categories. BSREM might be used in clinical routine in conjunction with TOF to achieve better/higher image quality and lesion detectability or in PET/CT-systems without TOF-capability for enhancement of overall image quality as well.
Assuntos
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Bases de dados: MEDLINE Assunto principal: Algoritmos / Fluordesoxiglucose F18 / Tomografia por Emissão de Pósitrons combinada à Tomografia Computadorizada Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Nucl Med Commun Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos
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Bases de dados: MEDLINE Assunto principal: Algoritmos / Fluordesoxiglucose F18 / Tomografia por Emissão de Pósitrons combinada à Tomografia Computadorizada Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Nucl Med Commun Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos