PATTERN NOISE CORRECTION FOR PSEUDO PROJECTIONS

摘要

Correcting pattern noise projection images includes acquiring a set of projection images (22A) with an optical tomography system including a processor, where each of the set of projection images (22A) is acquired at a different angle of view. A threshold (104) is applied to each projection image produce a set of threshold images. Each threshold image may optionally be dilated (106) to produce a set of dilated images that are summed to form an ensemble image (114). Each of the dilated images is processed to produce a set of binary images (108). The set of binary images are summed to form an ensemble mask (116). The ensemble image is divided by the ensemble mask (116) to yield a background pattern noise image (118). Each projection image is multiplied by a scaling factor and divided by the background pattern noise (120) to produce a quotient image that is filtered (122) to produce a noise corrected projection image (124).