The Pig (CH.Malbert) atlas is based on brain scans of 5 6-month-old female domestic pigs (Sus scrofa domesticus). An ex vivo T2-weighted MRI was used by Saikali et al.  to construct the atlas, and a T1 MRI is provided for image coregistration. Subsequently, the same group constructed a 99mTc-HMPAO SPECT template  and FDG PET template  in the same image space. Additionally, an FDG PET template for Yucatan miniature pigs was developed in the same image space as the domestic pig atlas . The atlas was initially constructed at high resolution (100 x 150 x 100 um) in one hemisphere, and then mirrored to create the full brain atlas. The VOI atlas contains 173 cortical and subcortical regions (reduced from 178 in the original high resolution atlas). The atlas is distributed with PMOD by courtesy of Dr. Charles-Henri Malbert, director of research at the Unité Ani-Scan, Département de Nutrition Humaine, INRA, France.
Four normalization templates are available in the Fuse It tool. They can be selected on the Reference page using the Template button when Pig is selected as Species:
The image files corresponding to these templates can be found in the resources/templates/voitemplates/Pig (CH.Malbert)/normalization folder. Additionally, mask files corresponding to each template, and tissue probability maps are available.
Selection and generation of appropriate masks is critical to successful spatial normalization with these templates. The mask corresponding to the template selected should be identified in the Normalization Settings dialog. The PBAS functionality (e.g. via the View tool) can be used to generate a mask for the input image. Accurate exclusion of activity outside the brain, and the olfactory bulbs, is necessary. This user-defined mask should also be identified in the Normalization Settings dialog.
The VOI atlas Pig (CH.Malbert) can be selected in the list of included VOI atlases. The corresponding map files in Nifti format can be found in the resources/templates/voitemplates/Pig (CH.Malbert) directory. The brain VOIs are structurally organized in a tree on the Group tab of the VOI editing page. The selection of a VOI subset is supported by a dedicated user interface.