Predictive modeling platform for serial casting to correct orthopedic deformities

Abstract

A system and method are provided herein for modeling of force vectors for serial casts to correct orthopedic deformities includes a camera configured to capture a three-dimensional image of the deformity, a computing device programmed to generate a three-dimensional model of the deformity based on the image of the deformity, determine the boundary conditions for the deformity based on the three-dimensional image of the deformity, and generate force vectors for a series of casts to correct the deformity. In exemplary embodiments, the system can print a series of casts to correct the deformity.

What is claimed is: 
     
         1 . A system for modeling of force vectors for a cast to correct orthopedic deformities, the system is programmed to execute machine readable instructions to:
 receive an image of the deformity;   generate a three-dimensional model of the deformity based the image of the deformity;   determine boundary conditions of the deformity using a machine learning model, wherein the machine learning model is trained on a plurality of prior patient data including an original image of the deformity of the patients, intermediate images of the deformity of the patients and an image of the final corrected deformity of the patient;   determine a series of steps for correcting the deformity based on the machine learning model and the determined boundary conditions; and   generate a force vector for a next series cast based on a series of simulations to minimize the deviation between the determined boundary condition and the predicted correction as determined using finite element analysis.