A method to automatically segment the pancreas into its main subcomponents head, body and tail is presented. The method uses groupwise registration to a reference template image that is subsequently annotated by parts. A new subject is registered to the template image, where part labels are propagated, and then transformed back to subject space. We test the method on the UK Biobank imaging sub-study, using a nominally healthy all-male cohort of 50 subjects for template creation and 20 other subjects for validation. We show pancreas T1 quantification by segment when reslicing the segmentation on a separate T1 slice.
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