Pet Nema Iq Phantom Dataset: Image Reconstruction Settings for Quantitative Pet Imaging

Pet Nema Iq Phantom Dataset: Image Reconstruction Settings for Quantitative Pet Imaging Publisher

Vosoughi H^{1, 2} ; Hajizadeh M¹ ; Emami F² ; Momennezhad M³ ; Geramifar P⁴

Source: Data in Brief Published:2021

Abstract

The data presented here provide information about the role of reconstruction parameters on Positron Emission Tomography (PET) image quantification. Multiple phantom measurements in four different Spheres to Background Ratio (SBR) were performed on Biograph 6 TruePoint TrueV PET/CT scanner. PET raw data were reconstructed with/without resolution recovery algorithm using six various iteration x subsets with five different Full-Width Half-Maximum (FWHM) values of Gaussian post-smoothing filter. The Recovery Coefficient (RC) of six spheres using three common Volume of Interest (VOI) methods (max, 3D-50% Isocontour, and peak) were calculated. Moreover, SUVmax, SUVmean, and SUVpeak and volumetric indices, such as metabolic tumor volume (MTV), volume recovery coefficient (VRC), and total lesion glycolysis (TLG) were measured. RCmax, RC50%, and RCpeak as a function of sphere size were plotted in all reconstruction methods considering different SBRs. The data could be noticeable for standardization and optimization of quantitative metrics in PET imaging. © 2021

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Mohammad Reza Ay (10)

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Style	Citing Format
MLA	Vosoughi H, et al.. "Pet Nema Iq Phantom Dataset: Image Reconstruction Settings for Quantitative Pet Imaging." Data in Brief, vol. 37, no. , 2021, pp. -.
APA	Vosoughi H, Hajizadeh M, Emami F, Momennezhad M, Geramifar P (2021). Pet Nema Iq Phantom Dataset: Image Reconstruction Settings for Quantitative Pet Imaging. Data in Brief, 37(), -.
Chicago	Vosoughi H, Hajizadeh M, Emami F, Momennezhad M, Geramifar P. "Pet Nema Iq Phantom Dataset: Image Reconstruction Settings for Quantitative Pet Imaging." Data in Brief 37, no. (2021): -.
Harvard	Vosoughi H et al. (2021) 'Pet Nema Iq Phantom Dataset: Image Reconstruction Settings for Quantitative Pet Imaging', Data in Brief, 37(), pp. -.
Vancouver	Vosoughi H, Hajizadeh M, Emami F, Momennezhad M, Geramifar P. Pet Nema Iq Phantom Dataset: Image Reconstruction Settings for Quantitative Pet Imaging. Data in Brief. 2021;37():-.
BibTex	@article{ author = {Vosoughi H and Hajizadeh M and Emami F and Momennezhad M and Geramifar P}, title = {Pet Nema Iq Phantom Dataset: Image Reconstruction Settings for Quantitative Pet Imaging}, journal = {Data in Brief}, volume = {37}, number = {}, pages = {-}, year = {2021} }
RIS	TY - JOUR AU - Vosoughi H AU - Hajizadeh M AU - Emami F AU - Momennezhad M AU - Geramifar P TI - Pet Nema Iq Phantom Dataset: Image Reconstruction Settings for Quantitative Pet Imaging JO - Data in Brief VL - 37 IS - SP - EP - PY - 2021 ER -

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