I want to detect a “noisy” or “artifact-impaired” MRI image – basically a way to classify the image as noisy or not. For clarity, a “good” image looks like the first one, whereas a “bad” image might look like one of the other two.
I have a hunch that a measure like Shannon Entropy might be able to distinguish these and I’m about to do that experiment on my datasets.
What I wanted to ask, is how do I find prior research on the topic of simple detection? I tried the obvious searches – MRI artifact detection / noise detection – and find most results are about motion artifact detection and removal. That is interesting, of course, but I haven’t found anything yet on simple detection of the kind of images shown above; I’m not attempting to “correct” for the noise, just detect it. Any thoughts on keywords to use?