Abstract #3164

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

Yoichiro Ikushima^1,2, 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

Synopsis

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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