The blurry medical image evaluated by using objective methods

• Main Authors: Pi-hui Hung, 洪碧慧
• Other Authors: Cheng-hsun Lin
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/39705500505475201897

碩士 === 中臺科技大學 === 放射科學研究所 === 98 === The purpose of this study was to seek an optimal method for measuring the image quality of MRI images after filtering. The study chose 80 slices brain image of MRI. They included T1WI, T2WI, T1 Flair and T2 Flair series. The original images were processed with the filter of the system, and to analyze them with objective method. In this work, the authors applied different level of filtering for brain MRI images. There were six objective methods to evaluate image quality, one was Pixel Based-Metric (PBM) and the other was Window Based-Metric (WBM). The PBM included Mean Square Error (MSE), Signal to Noise Ratio (SNR), Peak Signal to Noise Ratio (PSNR) meanwhile Universal Quality Index (UQI), Mean Structural Similarity (MSSIM), and Moran’s Peak Ratio (MPR) was for WBM. The PBM was very sensitive to image degradation but didn’t correlate well to subjective quality measures. The image spatial information was estimated from a local region by window based-metric, especially in MPR measurement. Apply the filter process by series, the researcher found that the image showed differences of MPR between T1and T2. The MPR was shown to be very sensitive to image quality of MRI filter, MPR was recommend as for measuring the image quality of MRI images after filtering.