Objective Based on the quality control of magnetic resonance imaging system using ACR volume model, to design the image signal to noise ratio (SNR) and uniformity automatic measurement software to improve the efficiency of measuring quality control parameters. Methods Based on the SNR and uniformity measurement method of ACR body model quality control detection image, and according to image characteristics, image preprocessing and feature extraction algorithms were designed and written on Matlab R2013b platform to realize automatic processing and analysis of SNR and uniformity of image. Bland-altman statistical method was used to evaluate the consistency between manual measurement and automatic measurement. Results The automatic detection program designed and written based on Matlab R2013b platform realized the automatic measurement of SNR and image uniformity. The Bland-Altman diagram showed that the data of the SNR measured by manual measurement and automatic measurement were within the range of the consistency limit (-53.1, 40.5), and the data of the image uniformity were within the range of the consistency limit (-4.7%, 3.0%), indicating that the consistency of the two methods was good. Conclusion The automatic measurement software based on Matlab platform is easy to implement, can greatly improve the efficiency of quality control parameter measurement, and is expected to replace manual measurement.