System and method for automatically generating sample points from a series of medical images and identifying a significant region

A system and method for automatically generating sample points from a series of medical images and identifying a significant region are presented. An image acquisition system acquires the medical images of a region of interest (ROI) and an automated mask generator reviews the images to generate a parenchyma mask. Using the parenchyma mask, an automated sample point generator then detects portions of the medical images indicative of a material expected to be in a ROI and designates sample points therefrom. A target-tissue identification system uses the sample points to create a mathematical description of a target tissue and an enhanced target-tissue. A target-tissue change detection system then detects changes in the mathematical descriptions from those created using prior images. Finally, a significant region detector, which includes a training process to generate a quantitative definition of significance, automatically identifies a significant object in the series of medical images.