The regression analysis and building of the stereotactic data set of the internal surface of cerebral parietooccipital sulcus

Objective: To build a stereotactic data set and internal surface regression equation of cerebral parietooccipital sulcus. Methods: The cross-sectional MRI data of 30 normal adult were imported into Photoshop by form transition. Through the strict registration of the image, the coordinate system of the software coincide with the system based on AC-PC line were made. The X and Y values of sample points with per 3 mm of the X-axis which began from the most inside point of the parietooccipital sulcus and along the parietooccipital sulcus line were measured and recorded and the multiplication of the thickness and number of the layer acted as Z values. All data of sample points of the parietooccipital sulcus were collected and analyzed by SPSS 16. 0 software, and plane equation was solved. Results: The three-dimensional stereotactic data set and internal surface regression equation of the pareitooccipital sulcus were constructed. In sagittal plane, the straight line regression equations of Z toward Y were 0. 774(Z) and 26. 975(Y) in right side and 0. 760(Z) and 28. 599(Y) in left side. Conclusions: The stereotactic data set and internal surfacicial regression equation of the pareitooccipital sulcus are constructed in the three-dimensional coordinates, which can play an important role in the construction of stereotactic surgery, and provide anatomical basis for interventional radiologic treatment.