Comparison of image quality evaluation methods for magnetic resonance imaging using compressed sensing-sensitivity encoding (CS-SENSE).

This study aimed to compare the relationship between the quantitative values and visual score of acquired images using the CS-SENSE method. T-weighted image (TWI) and T-weighted image (TWI) were acquired using a phantom created by a 3D printer. Each quantitative values (signal-to-noise ratio [SNR], contrast-to-noise ratio [CNR], structural similarity [SSIM], and scale-invariant feature transform [SIFT]) and visual evaluation score (VES) were calculated by the acquired images. The correlation coefficients among the calculating quantitative values and VES were calculated. The difference in methods for evaluating the image quality of TWI and TWI images using CS-SENSE was clarified. Variations in image quality, as reflected by VES in TWI and TWI images obtained via the CS-SENSE method, can be quantitatively assessed. Specifically, CNR is effective for evaluating changes in TWI, while SNR, CNR, and SIFT are suitable for assessing variations in TWI.