This application discloses an
image quality assessment method, apparatus, and electronic device. The method includes: acquiring raw image data of a target object; determining the geometric
centroid of a
metal implant from the raw image data; dividing the human
mask region corresponding to the target object in the raw image data into multiple sub-regions by extending multiple rays radially from the geometric
centroid; determining statistical indicators for each sub-region; and determining the
quality assessment result of the raw image data based on the statistical indicators. This application solves the technical problem of traditional
assessment methods that uniformly process all pixels in the entire medical image, easily leading to
confusion between radial artifacts produced by
metal and statistical fluctuations generated by normal high-density
bone structures, resulting in inaccurate assessment results.