Validation of rigid registration of mammographic images

TY - CHAP

T1 - Validation of rigid registration of mammographic images

AU - Bozek, Jelena

AU - Grgic, Mislav

AU - Schnabel, Julia A.

PY - 2011

Y1 - 2011

N2 - Mammographic image registration is an important step in the analysis of differences between the left and right breast in order to detect bilateral asymmetry, which is an early sign of breast cancer. We have used rigid registration to align left and right mammographic images as a first step for comparing corresponding regions in the left and right breast. Registration performance was tested on a dataset consisting of normal and asymmetric cases obtained from three different mammographic image databases: mini-MIAS, DDSM and our own database containing digital mammographic images. For the validation of mammographic image registration, we have used several measures: sum of squared differences (SSD), normalized cross correlation (NCC), mutual information (MI), normalized mutual information (NMI), structural similarity index (SSIM) and universal image quality (UIQI) measure. Results showed that rigid registration works well on all three databases and that it might be a good first step in analysing bilateral asymmetry.

AB - Mammographic image registration is an important step in the analysis of differences between the left and right breast in order to detect bilateral asymmetry, which is an early sign of breast cancer. We have used rigid registration to align left and right mammographic images as a first step for comparing corresponding regions in the left and right breast. Registration performance was tested on a dataset consisting of normal and asymmetric cases obtained from three different mammographic image databases: mini-MIAS, DDSM and our own database containing digital mammographic images. For the validation of mammographic image registration, we have used several measures: sum of squared differences (SSD), normalized cross correlation (NCC), mutual information (MI), normalized mutual information (NMI), structural similarity index (SSIM) and universal image quality (UIQI) measure. Results showed that rigid registration works well on all three databases and that it might be a good first step in analysing bilateral asymmetry.

KW - Bilateral Asymmetry

KW - Mammography

KW - Rigid Registration

UR - https://www.scopus.com/pages/publications/80055072288

M3 - Conference paper

AN - SCOPUS:80055072288

SN - 9789537044121

SP - 11

EP - 16

BT - Proceedings Elmar - International Symposium Electronics in Marine

T2 - 53rd International Symposium ELMAR-2011

Y2 - 14 September 2011 through 16 September 2011

ER -