Patent ID: 6310967
Filing Date: 2001-10-30
Classification: G06T

Abstract:
A method for analyzing a medical image to determine whether the image is classifiable as normal, the method comprising the steps of:applying a wavelet expansion to a digital representation of a raw image, the raw image comprising an array of sectors, each sector having an intensity level, to obtain a plurality of expansion images of varying resolution;selecting at least one expansion image having a resolution commensurate with a desired predetermined detection resolution range;dividing each expansion image into a plurality of regions, each region comprising at least one sector; andcreating an output image comprising a combination of all regions for each selected expansion image, each region having a first value when the region intensity level is above a predetermined threshold level and a second value when the region intensity level is below the threshold level, for localizing a potential abnormality within the image;wherein an absence of a predetermined number of regions having a first value intensity level is indicative of the image being classifiable as normal.