Objective: To establish a CT three-dimensional visualization model of the tree shrew skeletal system to provide a basis for the diagnosis of tree shrew skeletal diseases.
Method: Scanning with Toshiba Aquilonon 320-line spiral CT, 100kV, 80mA, tube rotation speed is 0.35 seconds per rotation, spacing is 1.35, image is 0.5mm, layer spacing is 0.5mm, and skeletal algorithm is used for reconstruction. In a parallel computing environment, use the Vitrea software package, select the MusculoskeletalCT option, and use volumetric imaging (VR), multi-planar imaging (MPR) and curved surface imaging (CPR) technologies for 3D reconstruction.
Result: The reconstructed visual model has a clear structure and can replicate the 3D model of the tree-shaped shreton skeletal system on the computer. In this model, there are 5 raised ridges behind the skull and 4 large holes when viewed from the side. The ear canal is located at the front end, the infraorbital foramen above the posterior jaw and the front jaw, and the outer orbital ring is surrounded by zy arches and blisters. In addition, there are several small skull holes, such as the optic nerve foramen and the submandibular foramen. Imaging technology can be used to quantitatively measure the main bone length, front and back diameter, left and right diameter, body length, tail length and other data. In particular, we also obtained fine data such as the length of the upper jaw and the length of the molars, the front and rear diameters, and the left and right data, which are difficult to accurately measure with anatomy. The diameter of the spine is not easily obtained anatomically. At the same time, using 3D visualization technology, we found that the tree sh has bone deformities, such as asymmetrical pelvic shape, enlarged chest, fractures and calcification of the synovial sac around the Achilles tendon.
Conclusion: The established CT 3D visualization technology can determine the special attributes of the tree skeletal system, which is very important for the non-invasive ecological classification, identification and evolutionary analysis of the tree sh skeletal system.