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Abstract #3164

Robust MR image quality assessment algorithm irrespective of the quality of reference images

Yoichiro Ikushima1,2, Shogo Tokurei1, Hiroyuki Tarewaki3, Junji Morishita4, and Hidetake Yabuuchi4
1Department of Radiological Science, Faculty of Health Sciences, Junshin Gakuen University, Fukuoka, Japan, 2Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 3Division of Radiology, Department of Medical Technology, Osaka University Hospital, Suita, Japan, 4Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan


The QEMDIM, a no-reference image quality assessment (IQA) algorithm, calculates the quality scores based on the quality difference between an image and reference images. Therefore, scores can be affected by the quality of the reference images. We modified the QEMDIM by changing the scoring method to compensate for this drawback. Brain MR images of various qualities were scored by subjective IQA (our gold standard), QEMDIM, and the modified algorithm. Modified scores showed a higher correlation with subjective IQA scores than the QEMDIM scores, using reference images of varied qualities. Our modified algorithm would be more clinically advantageous than the QEMDIM.

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