A statistical method for evaluation quality of medical images: a case study in bit discarding and image compression

Tzong-Jer Chen, Keh-Shih Chuang, Yuang-Chin Chiang, Jen-Hao Chang, Ren-Shyan Liu

Many studies have been performed on quality evaluation for subtle differences in medical images. However, only limited success has been achieved. In this paper, medical images were prior manipulated by denoising, lossy compression and filtering. The Moran statistics is then applied to extract spatial information of images and using Kolmogorov–Smirnov (KS) test to determine whether the manipulated and original images differ significantly. Results show that on average discarding 1–2 bits in T1 and CR images or 2–3 bits in T2 and body CT images are indistinguishable. This method is also applied to a reconstructed MR, body CT image and an electronic SMPTE (Society of Motion Picture and Television Engineer) phantom from lossy image compression software. Compression ratios of 16:1 for a MR image, 8–9:1 for a cropped body CT image, 7:1 and 5:1 for high- and low-resolution regions in electronic phantom is proved undifferentiated from original. The proposed method is useful for complementing the human visual system, to optimize the performance of image compression technique.