Today, when whole-body PET-MRI datasets are analyzed, the data is typically reduced to a few a priori specified measurements. New tools are developed in an attempt to utilize the full potential of large whole-body datasets. The purpose of this work was to build a preliminary whole-body atlas, containing both morphological (fat and water MR) and functional (FDG-PET) information on normality. An atlas was built out of 30 subjects using an integrated PET-MRI system together with an efficient registration method for fat-water MR images. The atlas was used in a proof-of-concept anomaly detection in FDG-PET using a pointwise t-test, which successfully detected anomalies in our test subject.