NDLI: Reduction of dental filling metallic artifacts in CT-based attenuation correction of PET data using weighted virtual sinograms

Content Provider	IEEE Xplore Digital Library
Author	Abdoli, M. Ay, M.R. Ahmadian, A. Zaidi, H.
Copyright Year	2009
Description	Author affiliation: Division of Nuclear Medicine, Geneva University Hospital, CH-1211 Geneva, Switzerland (Zaidi, H.) \|\| Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran and Research Center for Science and Technology in Medicine, Tehran, Iran, and Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands (Abdoli, M.) \|\| Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran and Research Center for Science and Technology in Medicine, Tehran, Iran (Ahmadian, A.) \|\| Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran and Research Center for Science and Technology in Medicine, Tehran, Iran, and Research Institute for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran (Ay, M.R.)
Abstract	The streak artifacts caused by dental fillings are known to generate artifacts in attenuation maps thus leading to overestimation/underestimation of tracer uptake in resulting PET images. Correction of these artifacts is therefore mandatory to achieve accurate attenuation maps to be used by the CT-based attenuation correction procedure. Our group recently proposed a metal artifact reduction method using the virtual sinogram concept. In spite of the satisfactory results obtained on phantom studies, the algorithm was suffering from slight imperfections such as discontinuity of corrected sinogram bins along the second dimension of the sinogram matrix (i.e. the one sampling angular positions) and an evident difference between corrected and non-affected sinogram bins, especially when the number of affected bins in one column of the sinogram matrix is noticeable. The purpose of this study is to present an improved method allowing to overcome the above mentioned limitations. The proposed method enhances the corrected sinogram using weighted values of the influenced bins in the corrected and non-corrected sinograms, and weighted values of the sinogram bins in the neighboring column of the sinogram matrix. The optimum weighting factors associated with the three data sets mentioned above (α, β and γ) were determined by assessing different combinations of these factors having values falling in the range [0.1-0.9] and statistical analysis of the images of 10 patients with dental fillings. The optimum combination achieved is a=0.3, P=0.6 and γ=0.1. The results reveal that the corrected CT images and attenuation maps preserve more detail especially in regions adjacent to metallic objects whereas the original method suffered from eliminating relevant anatomical details. It was concluded that the proposed MAR method using weighted virtual sinograms improves the quality of clinical CT studies thus allowing the achievement of more accurate attenuation correction of PET data.
Starting Page	2752
Ending Page	2755
File Size	544601
Page Count	4
File Format	PDF
ISBN	9781424439614
ISSN	10957863
DOI	10.1109/NSSMIC.2009.5401961
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dentistry Filling Attenuation Positron emission tomography Computed tomography Interpolation Nuclear and plasma sciences Imaging phantoms Sampling methods Statistical analysis
Content Type	Text
Resource Type	Article

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