Abstract #4318

Automatic no-reference image quality evaluation of DWI in uterine malignancy at 3T with iShim, RESOLVE, and ss-EPI sequences – a feasibility study

Qi Zhang¹, Xiaoduo Yu¹, Jieying Zhang¹, Xinming Zhao¹, Han Ouyang¹, Hongmei Zhang¹, Qinglei Shi², Xiang Feng², and Xiaoye Wang²

¹Department of Imaging Diagnosis, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China, ²MR Scientific Marketing, Diagnostic Imaging, Siemens Healthcare Ltd, Beijing, China

This study proposed an automatic image quality evaluation method using no-reference image quality metrics of structural similarity index (SSIM), blind/referenceless image spatial quality evaluator (BRISQUE), perception based Image quality evaluator (PIQE), SNR Wavelet and Contrast. The SNR Wavelet was calculated by the quotient of the image before wavelet filtering and the difference between the image before wavelet filtering and the image after wavelet filtering. The contrast was calculated using the average signal difference of three to five gray bars in the middle position. This study showed the automatic no-reference image quality metrics have potentials in future application of evaluating the image quality of uterine malignancy DWI at 3T with a higher efficiency.

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