Title :
Fusing digital-breast-tomosynthesis and nearfield-radar-imaging information for a breast cancer detection algorithm
Author :
Martinez Lorenzo, Jose A. ; Obermeier, Richard ; Quivira, Fernando ; Rappaport, Carey M. ; Moore, R. ; Kopans, Daniel B.
Author_Institution :
Gordon CenSSIS/ALERT Center of Excellence, Northeastern Univ., Boston, MA, USA
Abstract :
This paper presents a computational simulation of a hybrid Digital-Breast-Tomosynthesis (DBT) and microwave Nearfield Radar Imaging (NRI) technique for detecting breast cancer. The DBT image is used to obtain a background distribution of the heterogeneous tissues in the breast, which is then used by the NRI algorithm to successfully detect cancerous tissues in the breast, in spite of the low dielectric contrast between cancerous and normal glandular/fibro-connective tissues.
Keywords :
biological tissues; cancer; image fusion; mammography; medical image processing; microwave imaging; radar imaging; tomography; DBT; background distribution; breast cancer detection algorithm; cancerous tissues; heterogeneous tissues; hybrid digital-breast-tomosynthesis; microwave NRI technique; microwave nearfield radar imaging technique; normal glandular-fibroconnective tissues; Breast cancer; Dielectrics; Imaging; Radar imaging; Signal to noise ratio;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2013 IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-5315-1
DOI :
10.1109/APS.2013.6711677
