Shuxia Wang1, Dai Shan1, Xuxia Wang1, Yong Fan2, Yuanye Ma3, Hao Lei1
1State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, Hubei, China; 2National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; 3Laboratory of Primate Neurosciences, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
Tree shrews are special relatives of primates from evolution. They are visually oriented animals with well-developed visual system and also possess developed limbic brain structures. For years, they were used as animal models in studies of visual system and social tress. However, few previous studies have used magnetic resonance imaging to study the brain of tree shrew. As an important step to achieve automated/parametric analysis of tree shrew brain imaging data, we built a set of brain tissue probability maps (grey matter, white matter and cerebrospinal fluid) of Tupaia belangeri chinensis and used for semi-automated volumetric measurements of limbic brain structures.