2018 JRNL PP Frithjof Kruggel - 1.pdf
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Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan
An automatic and objective assessment of image
quality is important in an era, where large-scale processing of
imaging data from multi-center studies becomes commonplace.
Based on a comprehensive statistical image model that includes
noise and blur, a measure for image acuity is derived here as
the ratio of the maximal gradient magnitude and the intensity
difference at a boundary. Acuity may be affected by the object
under study, the image acquisition, reconstruction processes, and
any post-processing steps. The acuity measure presented here is
post-hoc, intuitive to understand, simple to compute, and easily
integrates with other standard measures of image quality. Three
applications in medical imaging are included where our acuity
measure is useful in the objective and automatic assessment of
image quality.