Patent Number: 6,310,967

Title: Normal and abnormal tissue identification system and method for medical images such as digital mammograms

Abstract: A system and method for analyzing a medical image to determine whether an abnormality is present, for example, in digital mammograms, includes the application of a wavelet expansion to a raw image to obtain subspace images of varying resolution. At least one subspace image is selected that has a resolution commensurate with a desired predetermined detection resolution range. A functional form of a probability distribution function is determined for each selected subspace image, and an optimal statistical normal image region test is determined for each selected subspace image. A threshold level for the probability distribution function is established from the optimal statistical normal image region test for each selected subspace image. A region size comprising at least one sector is defined, and an output image is created that includes a combination of all regions for each selected subspace image. Each region has a first value when the region intensity level is above the threshold and a second value when the region intensity level is below the threshold. This permits the localization of a potential abnormality within the image.

Inventors: Heine; John J. (New Port Richey, FL), Clarke; Laurence P. (Temple Terrace, FL), Deans; Stanley R. (Tampa, FL), Stauduhar; Richard Paul (Kailua Kona, HI), Cullers; David Kent (Menlo Park, CA)

Assignee: University of South Florida

International Classification: G06T 7/00 (20060101); G06K 009/00 ()

Expiration Date: 10/30/2018