Research On Quantitative Analysis Of Infantile Cerebral Cortex Based On Image Computation

The brain is the central organ of the nervous system and the most complex organ.The cerebral cortex maintains the body’s normal life activity.With the substantial increase of medical standards and the construction of neonatal intensive care unit,the lives of various high-risk newborns are guaranteed.What followed was an increase in the incidence of brain diseases in infants and young children.In the process of cortical development,many factors will affect its morphology,while many diseases also cause morphological changes in the cerebral cortex.The characteristics of infant brain structure complicate the imaging manifestations of brain diseases.Quantitative analysis of infant brain images has always been a challenging topic.Based on brain MR images,we have quantitatively analyzed the cerebral cortex of infants and young children,studied the development of cerebral cortex in infants and young children in different periods,and analyzed the morphological changes of cerebral cortex during infancy brain development by different indicators.Firstly,we have studied the quantitative analysis of infant cortical fractal dimension.Aiming at the shortcomings of traditional differential box-counting method,such as box high selection and box-counting,an improved differential box-counting method has been proposed.The improved differential box-counting method can improve the accuracy of infant fractal dimension calculation.Secondly,in order to analyze the fractal dimension of the local area of the cerebral cortex,we have introduced the spherical harmonic reconstruction into the calculation of the fractal dimension,and calculated the local fractal dimension of the infant cerebral cortex.Using the algorithm proposed in this paper to calculate the fractal dimension of brain images of infants and young children at different ages,we can find the morphological changes of cortex in the process of brain development.Then we have studied the quantitative analysis of gyrification index in infants and young children.In order to obtain more accurate indices in the calculation of the local gyrification index of the cerebral cortex,we have introduced the Laplace equation in the mathematical physics method into the calculation of the local gyrification index of the cerebral cortex.One-to-one correspondence between the pial surface of the cerebral cortex and the surface of the convex hull can be established by the Laplace equation.The proposed method has a more rational biological anatomy.Using the algorithm proposed in this paper to calculate the local gyrification index of cerebral cortex in infants and young children of different ages,we can find out the changes of the folding of different brain functional regions during the process of brain development.Finally,we have studied the quantitative analysis of cerebral cortex thickness in infants and young children.The traditional method of calculating the thickness of the cerebral cortex relies on the accurate segmentation of the gray matter/white matter and gray matter/CSF interfaces.Incorrect segmentation results in an overestimate of cortical thickness.In this paper,the Eikonal equation has been introduced into the calculation of the cerebral cortex thickness,which avoids the influence of the mistake of the sulcal region on the cortical thickness calculation and improves the accuracy of the calculation results.Using the algorithm proposed in this paper to calculate the cortical thickness of infants and young children of different ages,we can find the changes of cerebral cortex thickness during the process of brain development.This index can be used to evaluate the mental development of infants and young children.