INTERACTIVE OPTIMIZATION OF SCAN DATABASES FOR STATISTICAL TESTING

摘要

Generating a patient image collective (34) includes receiving a plurality of candidate images (20) and associated data. At least one inclusion/exclusion rule (44) is applied to the plurality of candidate images and associated data which results in subsets of candidate images (32). The candidate images are tested which result in at least one quality measure (40). The at least one quality measure (40) and associated candidate images are reviewed. The at least one inclusion/exclusion rule (44) is refined based on the reviewed at least one quality measure (40) by at least one of: adding a rule, modifying a rule, deleting a rule, removing a candidate image; and adding a candidate image. The steps of applying the at least one inclusion/exclusion rule through refining the at least one inclusion/exclusion rule are repeated until an optimized collective of images is generated based on a collective size and the at least one quality measure (40). The generated collective is outputted to a data store (34).