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Breast image registration using a textural transformation
Author(s) -
Sivaramakrishna Radhika
Publication year - 1998
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.598426
Subject(s) - image registration , artificial intelligence , computer vision , transformation (genetics) , computer science , pixel , noise (video) , mammography , image processing , geometric transformation , medical imaging , image (mathematics) , pattern recognition (psychology) , breast cancer , medicine , biochemistry , chemistry , cancer , gene
Small breast tumors could be detected early by registering two longitudinal breast images and subtracting them. The noise and low contrast in breast images permit few control points for image registration. We propose a new textural transformation, called the “starbyte” transformation, to solve this image registration problem. The starbyte transform is computed using local neighborhood properties around every pixel in an image and converts breast images to texture maps with clearly demarcable regions from which accurate control points can be easily identified. A complete registration algorithm is presented which consists of first starbyte transforming the original images, extracting control points (both manually and automatically), and performing unwarping using thin plate splines. The performance of the algorithm was rigorously tested on portions of mammograms warped by six different types of distortions. Limited studies have also been performed with added noise and simulated tumors. Preliminary results are also presented on roughly corresponding 2D slices taken from 3D MRIs of volunteers imaged twice with breast repositioning between the two images.