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Prejudice area iterations find how many passes produced while in the first bias area evaluation period. More iterations will esitmate specially powerful opinion fields.

Prejudice area smoothing handles the amount of smoothness forecast inside estimated bias area. The value registered could be the Full-Width Half-Maximum (FWHM) in mm. A larger benefits here will enforce most smoothness regarding the calculated prejudice field.

Usage a-priori chance maps informs QUICKLY to begin by registering the input image to level room immediately after which use standard tissue-type likelihood maps (from MNI152 dataset) instead of the first K-means segmentation, in order to estimate the initial details from the courses.