[DEPRECATED] Large-scale UK Biobank Whole Body Atlases

Population atlases are commonly utilised in medical image analysis to facilitate the investigation of population variability. 
Such atlases enable the mapping of medical images into a common coordinate system, promoting comparability and enabling the study of inter-subject differences. 
Constructing such atlases becomes particularly challenging when working with highly heterogeneous datasets, such as whole-body images, where subjects show significant anatomical variations.
In this work, we propose a pipeline for generating a standardised whole-body atlas for a highly heterogeneous population by partitioning the population into meaningful sub-groups. 
We create six whole-body atlases that represent a healthy population average using magnetic resonance (MR) images from the UK Biobank dataset. 
In addition to the anatomical atlases, we generate label atlases that capture the distributions of abdominal fat and five abdominal organs across the population.
We demonstrate different applications of these atlases, using the differences between subjects with medical conditions such as diabetes and cardiovascular diseases and the healthy atlases. 
With this work, we make the constructed anatomical and label atlases publically available and anticipate them to support medical research conducted on whole-body MR images.