Method for processing tomographic image data from X-ray computed tomography investigation of liver for recognition of liver tumor, involves performing iterative classification, and calculating image mask from last probability image

摘要

The method involves loading (S1) an image data set including multitude of image pixels, and performing normalization (S2) of the image data set. A feature vector is calculated for each of the image pixels with image features based on the properties of the image pixels, and an iterative classification is performed (S3) by adding feature vectors of each image pixel with probability characteristics. The iterative classification is stopped based on stopping criterion, and an image mask is calculated (S4) from a last probability image, where each image pixel is assigned unique to a certain class. An independent claim is also included for a computer system for processing tomographic image data from X-ray CT investigation of a liver.