IMAGE NORMALIZATION FOR COMPUTER-AIDED DETECTION, REVIEW AND DIAGNOSIS

摘要

A method and apparatus for processing medical images from one of a plurality of digital acquisition modalities or manufacturers with different imaging condition is proposed for creating consistent appearance of the images. The method comprises (1) tissue segmentation to isolate the region of interest; (2) dynamic extraction of the optimal parameters for image transformation from the segmented region; (3) generation of a transformation function from the individual image optimized parameters; and (4) use of the transformation function to produce images that have consistent image characteristics. This method also applies to multiple images from a single study or multiple studies. The transformed images can be used for computer-aided lesion detection, review and diagnosis.