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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