CT Image Auto Analysis Method, Apparatus and Recordable Medium for Automatically Calculating Quantitative Assessment Index of Chest-Wall Deformity Based on Automatized Initialization

摘要

The present invention applies a variety of image processing techniques to fully automate the initialization process for image segmentation, automatically extract the internal boundary information of the rib cage from the computed tomography (CT) image and from this A method, apparatus, and recording medium for automated CT image analysis that automatically calculate indices for evaluating the degree of deformation. According to an aspect of the present invention, a method for automating CT image analysis is a method for automating CT image analysis for analyzing a deformation level of a chest of a target patient based on a chest CT image by using CT image analysis means. Receiving, horizontally aligning the chest CT image based on boundary information of the lungs in the chest CT image, and each region (organ and tissue) including the lung based on the horizontally aligned chest CT image. Storing boundary information, generating an edge map based on boundary information of each region (organ and tissue) obtained from the chest CT image, generating a GVF field corresponding to the edge map, and the boundary information Based on the boundaries of the lungs and bones by extracting the initial contours connecting the borders of the left and right lungs and bones (sternum, ribs, spine) Establishing a connected initial contour, extracting the internal border of the rib cage using ACM, which is an image segmentation algorithm, so that the initial contour connected to the border of the lung according to the GVF field is approximated to the internal rib border of the edgemap And analyzing the inner rib boundary based on a Curve Fitting Method to calculate one or more indices for the degree of rib deformation.