Advanced computer-aided diagnosis of lung nodules

A system for extracting features from a multi-slice data set, the system comprising:

• a processor;
• and
• a memory storing instructions, which, when executed by the processor, cause the processor to:
• represent a spatial distribution of an object mathematically;
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• represent a shape of the object mathematically;
• determine contour and texture of the object;
• identify a border pixel of the object and estimate a derivative;
• analyze the derivative as a function of position along the contour;
• identify automatically the presence of dark regions or bright regions within the object;
• and
• approximate texture of an image in a surrounding region of the object;
• wherein the features are calculated for the group comprising each slice of the multi-slice data set, a maximum intensity projection taken at an arbitrary angle, a minimum intensity projection taken at an arbitrary angle;
• and a digitally reconstructed radiograph taken at an arbitrary angle through one or more slices of the image.