DocumentCode
249023
Title
Mammogram iterative pompeiu-hausdorff registration algorithm
Author
Cunningham, Stephanie C. ; Adhami, Reza R.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Alabama in Huntsville, Huntsville, AL, USA
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
3557
Lastpage
3561
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 Mammogram Iterative Pompeiu-Hausdorff Registration Algorithm (MIPHRA) is a novel process designed to accurately register two mammogram images. MIPHRA is built upon a new technique for efficiently minimizing the Pompeiu-Hausdorff distance between two images (or point sets) over rigid body motion. A recent study comprised of 100 bilateral mammogram pairs revealed that MIPHRA offers increased accuracy and efficiency over current rigid-body mammogram registration techniques, such as mutual information.
Keywords
cancer; image registration; iterative methods; mammography; medical image processing; MIPHRA; bilateral asymmetry; breast cancer research; computer aided detection algorithms; mammogram image registration; mammogram iterative Pompeiu-Hausdorff registration algorithm; mutual information; point sets; rigid body motion; time asymmetry; Biomedical image processing; breast cancer detection; distance measurement; image registration; mammography;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location
Paris
Type
conf
DOI
10.1109/ICIP.2014.7025722
Filename
7025722
Link To Document