1. A method of processing an image from a data set through a pipeline wherein quality assurance allows to determine a quality of said image processing, said method comprising; receiving a test image; registering said test image to a reference image; calculating a test image quality using a correlation of image intensity values between corresponding locations of said test image and said reference image; providing a plurality of training images and calculating training image quality distribution statistics for said training images with respect to said reference image; and relating said test image quality to said training image quality distribution.