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Abstract #4771

Verifying the feasibility of automatic no-reference image quality metrics in evaluation the image quality of abdominal iSim at 3T

Fan WenWen1, Ou Yang Han1, Zhao XinMing1, Zhang HongMei1, Zhou Chun Wu1, Shi Qing Lei2, Feng Xiang2, Xu Xiao Juan1, Liu Kan1, Wang Xiao Ye3, Thomas Benkert Ph.D4, and Lu Tong Suo1
1National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, BeiJing, China, 2MR Scientfic marketing Siemens Healthcare, BeiJing, China, 3MR Application Siemens Healthcare, BeiJing, China, 4HC DI MR DL ONCO,Siemens Healthcare GmbH, BeiJing, China

This experiment 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 potential in future in evaluation the image quality of abdominal DWI at 3T with a higher efficiency.

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