Abstract: Objective To investigate the effect of different iterative reconstruction levels of multiple model adaptive statistical iterative reconstruction-V(ASiR-V) algorithm on the image quality of different parenchyma organs in adult abdominal CT and determine the optimal reconstruction level.Methods 80 adult patients with a body mass index (BMI) between 18.5 and 24.9 kg/m², requiring abdominal CT scans, underwent routine abdominal CT scans. The scanned images were reconstructed using five different reconstruction levels (10%, 30%, 50%, 70%, 90%), and the reconstructed images were evaluated subjectively and objectively. Subjective evaluation used a five-point scale. Objective evaluation included measuring CT values and standard deviation (SD) values of the liver, spleen, pancreas, kidneys, and erector spinae muscle, along with calculating signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR).Results Subjective evaluation:the 70% reconstruction level had the highest scores for liver and spleen images, the 50% and 70% reconstruction levels had the highest scores for pancreas images, and the 50% reconstruction level had the highest scores for kidney images. Objective evaluation:as the reconstruction level of ASiR-V increased, the SD values of image noise decreased, while the values of SNR and CNR increased. There were significant differences in SD, SNR, and CNR values among different reconstruction levels of the liver, spleen, pancreas, and kidneys.Conclusions For different parenchyma organs in the abdomen, the 70% reconstruction level provides the best image quality for the liver and spleen, the 50% and 70% reconstruction levels provide the best image quality for the pancreas, and the 50% reconstruction level provides the best image quality for the kidneys.