Date of Award
2013
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Electrical and Computer Engineering
Committee Chair
Reza R. Adhami
Committee Member
Jennifer M. English
Committee Member
Laurie L. Joiner
Subject(s)
Breast--Radiography, Breast--Cancer--Diagnosis, Breast--Imaging, Diagnostic imaging, Medical screening
Abstract
Accurate mammogram registration is vital to future breast cancer research. In order to detect changes over time and/or bilateral asymmetry, computer aided detection algorithms must first be able to accurately align two mammogram images. The registration algorithm in this thesis is a novel process designed to accurately register two mammogram images using the Pompeiu-Hausdorff distance as a similarity measure. The algorithm identifies the optimal translation and rotation that can be used to properly align the two mammogram images by computing the optimized Pompeiu-Hausdorff distance between extracted feature point-sets and adaptively fine tuning the parameters with each iteration. This automated algorithm, on average, is more accurate, efficient and robust than current mammographic registration techniques, such as registration based on mutual information.
Recommended Citation
Cunningham, Stephanie Cleveland, "A novel mammogram registration algorithm for improving breast cancer detection" (2013). Theses. 25.
https://louis.uah.edu/uah-theses/25