You can try CropVolume to extract the overlapping regions and then average them (easiest using numpy - see the script repository) and then put them back together with CropVolume and numpy or the module described here.
You can try CropVolume to extract the overlapping regions and then average them (easiest using numpy - see the script repository) and then put them back together with CropVolume and numpy or the module described here.