Morphological analysis and establishment of projection regression equation of occipital temporal sulcus

ObjectiveTo investigate the thin layer MRI image of living brain with AC-PC line as the baseline, and study the morphology and projection regression equation of occipital temporal sulcus in cross section, coronal and sagittal plane.

MethodsFifteen healthy male and 15 female were selected.With AC-PC as the baseline, the continuous scanning of MRI T1W1 images were performed to obtain MRI imaging data of cross, coronal and sagittal planes.The changes of occipital temporal sulci in cross and coronal plane, and continuous morphological characteristics were observed using 3D-cursor technology.The cross section Z=0, coronal plane X=0, sagittal plane Y=0, layer thickness for 2 mm, and Y value for the distance between the layer and zero layer multiplied by 2 mm layer thickness were set as the standard, the Cartesian three-dimensional coordinate system was established, the projection diagram of the medial margin of the occipital temporal sulcus was drawn, and the spatial fitting curve plane regression equation of the medial margin of occipital temporal sulcus was analyzed using SPSS 22.0.

ResultsThe cross section of the occipital temporal sulcus was parallel to the edge of cerebral hemisphere, running forward and backward, extending to the occipital lobe, and parallel to the lateral accessory groove.The cross section was divided into the "wave" type, "()" type and "3" type, and the coronal plane was mainly divided into "1", "11" and "U" types.The projection regression equation of occipital temporal sulcus in cross section, coronal and sagittal plane were successfully constructed.The right and left sides of the cross-sectional Y-X curve regression equation of occipito-temporal sulcus were (\mathop Y\limits^ \wedge=62.76+2.75×X+0.22×X²+3.1×10^-3×X³) and (\mathop Y\limits^ \wedge=3.84-10.83×X+0.5×X²-6.04×10^-3×X³), respectively.The right and left sides of the coronal plane Z-X curve regression equation of occipito-temporal sulcus were (\mathop Y\limits^ \wedge= 7.67-1.54×X-0.09×X² -1.06×10^-3×X³) and (\mathop Y\limits^ \wedge=17.99+2.78×X-0.12×X²+1.42×10^-3×X³), respectively.The right and left sides of the sagittal plane Z-Y curve regression equation of occipito-temporal sulcus were (\mathop Y\limits^ \wedge=20.75-0.35×X+2.62×10^-3×X²+5.49×10^-5×X³) and (\mathop Y\limits^ \wedge= 19.64-0.39×X+3.75×10^-4×X²+3.15×10^-5×X³), respectively.

ConclusionsThe occipital temporal sulcus can be identified using 3D-Cursor and continuous tracking technology, has different shapes in the transverse and coronal planes, and can provide the anatomic basis for the location of temporal lobe diseases and approach of occipital temporal sulcus surgery.