Purpose: Investigate the impact of nonionic dimer and monomer on iodine quantification in different vessel sizes when employing a vascular specific phantom and varying iodinated contrast media (ICM) concentrations during computed tomography (CT). Materials and Methods: We created a vascular specific phantom (30 cm) to simulate human blood vessel diameters (25 cylinders of different diameters: 10×9mm, 10×12mm and 5×21mm). The phantom was filled with two ICM separately: Group: Iohexol(monomer)350 mg ml −1 and B: Iodixanol(Dimer)320 mg ml −1 . Cylinders of same size were filled with increasing ICM concentration(10%-100%) while large cylinders were filled in quartiles (25%-100%). Phantom was scanned with different tube potential (80-140kVp), current (50-400mAs), reconstruction method [filtered back projection (FBP), hybrid-based iterative reconstruction (HBIR) and model-based iterative reconstruction (MBIR)] for each ICM. Chi-square was employed to compare mean opacification, contrast/noise ratio (CNR) and noise. Qualitative analysis was assessed by Visual grading characteristic (VGC) and Cohens-kappa analyses. Results: At 80 and140kVp significant difference in opacification between Group A (2054±1040HU and 1696±1027HU) and B (2169±1105HU and 1568±1034HU) was demonstrated (p<0.001). However, at 100 and 120kVp no difference was noted (p>0.05). When comparing image noise, it was higher in Group A compared to B (p<0.05). CNR was higher in Group B (119.99±126.10HU) than A (107.09±102.56HU) (p<0.0001). VGC: Group A outperformed B in image opacification in all vessel sizes and ICM concentrations except at medium vessels with concentration group 2(0.4-0.6 mg ml −1 ). Cohens'-kappa: agreement in opacification between each ICM group and iodine concentration 1(0-0.3 mg ml −1 ): κ=0.253 and 0.014 respectively, concentration 2(0.4-0.6 mg ml −1 ):κ=−0.017 and −0.005 respectively and concentration 3(0.7-1 mg ml −1 ):κ=0.031 and 0.115 respectively. Conclusion: Nonionic dimer (Iodixanol) surpasses monomer (Iohexol) in quantitative image quality assessment by having lower image noise and higher CNR during CT.