| 摘要 |
A computer-based method of identifying an object in a digital medical image comprises determining, at each of a plurality of points, the local dispersion of the image, and analysing the local dispersion along a direction of least variation or change to identify the object. The identified object may comprise regions within a predetermined value range. Dispersion may be determined using eigenvalues derived from a Hessian matrix (H, using image intensity functions, I); dispersion analysis may be performed using either the largest or smallest eigenvalue, and identification can be determined by eigenvalue thresholding. Also independently claimed is a method of identifying an object in a digital medical image that comprises calculating, at each of a plurality of points, the Hessian matrix for the image, and analysing the definiteness of the Hessian matrix for object identification; definiteness may be determined using the Sylvester condition or a Gaussian elimination condition. Processing to remove noise or enhance local structures, using a filter, may be performed. The methods have particular application to CT colonoscopy (CTC) imaging. |
