SYSTEM AND METHOD FOR THE CLASSIFICATION OF MEASURABLE LESIONS IN IMAGES OF THE CHEST

摘要

A system and method for the automated classification of lesions in CT images of the chest between measurable and non-measurable lesions is disclosed. The method comprises the steps of identifying lesions in a CT image, performing repeated measurements of selected metrics on the identified lesions and selecting as measurable lesions those with a variability of less than a pre-defined limit of agreement. Then a training step is carried out relying on a variety of image related features extracted from the lesions. Finally, labeling of lesions according to their likelihood of being consistently measured is performed.

主权项

1. A computer-implemented method for the automated classification of lesions in tomographic images of the chest between measurable and non-measurable lesions comprising
a) identifying pulmonary lesions of interest (LOIs) in a tomographic image of the chest; b) performing repeated measurements of a plurality of metrics in the identified LOIs; c) computing the variability of the repeated measurements; d) applying a threshold to the variability of the repeated measurements wherein the threshold is derived from a population of reference and wherein the LOIs with measurements having a variability greater than the threshold are classified as non-measurable lesions (NML); e) extracting a plurality of image-based features from each LOI; f) correlating the variability of the repeated measurements with the plurality of imager-based features; and g) labelling the LOIs according to their likelihood of being consistently measured.