Article

Metal artifact reduction strategies for improved attenuation correction in hybrid PET/CT imaging.

Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, 9700 RB Groningen, The Netherlands.
Medical Physics (impact factor: 2.83). 06/2012; 39(6):3343-60. DOI:10.1118/1.4709599 pp.3343-60
Source: PubMed

ABSTRACT Metallic implants are known to generate bright and dark streaking artifacts in x-ray computed tomography (CT) images, which in turn propagate to corresponding functional positron emission tomography (PET) images during the CT-based attenuation correction procedure commonly used on hybrid clinical PET/CT scanners. Therefore, visual artifacts and overestimation and/or underestimation of the tracer uptake in regions adjacent to metallic implants are likely to occur and as such, inaccurate quantification of the tracer uptake and potential erroneous clinical interpretation of PET images is expected. Accurate quantification of PET data requires metal artifact reduction (MAR) of the CT images prior to the application of the CT-based attenuation correction procedure. In this review, the origins of metallic artifacts and their impact on clinical PET/CT imaging are discussed. Moreover, a brief overview of proposed MAR methods and their advantages and drawbacks is presented. Although most of the presented MAR methods are mainly developed for diagnostic CT imaging, their potential application in PET/CT imaging is highlighted. The challenges associated with comparative evaluation of these methods in a clinical environment in the absence of a gold standard are also discussed.

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Keywords

Accurate quantification
 
brief overview
 
clinical PET/CT imaging
 
comparative evaluation
 
corresponding functional positron emission tomography
 
CT-based attenuation correction procedure
 
dark streaking artifacts
 
diagnostic CT imaging
 
gold standard
 
hybrid clinical PET/CT scanners
 
MAR methods
 
metal artifact reduction
 
metallic artifacts
 
PET data
 
PET/CT imaging
 
potential application
 
potential erroneous clinical interpretation
 
presented MAR methods
 
visual artifacts
 
x-ray computed tomography
 

Mehrsima Abdoli