This invention belongs to the field of computer medical technology and relates to an automatic assessment method for cranial morphology based on pediatric CT images. The method involves acquiring original pediatric cranial CT images; identifying the
voxel coordinates of the nasal root point, left tragus point, and right tragus point in the original pediatric cranial CT images; redirecting the original pediatric cranial CT images to a standard anatomical coordinate
system to obtain a normalized cranial image; performing three-dimensional
connected component extraction and morphological closure operations on the normalized cranial image to obtain a binary
mask of the complete
skull; locating the pediatric cranial
measurement plane and extracting the
skull contour to obtain a collision
point set; calculating the cranial
asymmetry index and cranial proportion; and comparing the results with a predefined clinical
grading scale to generate an assessment result. This invention solves the problems of weak anti-interference ability, strong subjectivity in key
point localization, lack of standardized spatial alignment, and fragmented automated processes in existing technologies.