The invention relates to an extraocular
muscle three-dimensional reconstruction and extraocular
muscle volume calculation method, which comprises the following steps: S1, acquiring medical image data and an image containing
coronal plane information of eyeballs and surrounding tissues thereof; s2, performing
deep learning prediction on the obtained medical image data by using an ESNet model to obtain an extraocular
muscle segmentation result; s3, obtaining an accurate extraocular muscle image according to the extraocular muscle segmentation result; s4, performing extraocular muscle three-dimensional reconstruction by using an MPR
algorithm according to the obtained extraocular muscle image, and establishing an extraocular muscle three-dimensional model; and S5, calculating the volume of each extraocular muscle according to the extraocular muscle image obtained in the S3. According to the extraocular muscle three-dimensional reconstruction and extraocular muscle volume calculation method,
deep learning prediction is carried out on the obtained medical image data through the ESNet model to obtain an accurate extraocular muscle image, three-dimensional reconstruction and volume calculation are carried out according to the extraocular muscle image, the extraocular muscle reconstructed through the method is accurate in reduction degree, and the method is suitable for large-scale popularization and application. Diagnosis of
strabismus is assisted, and research of extraocular muscle volume related diseases is facilitated.