Title :
Regional Admittivity Spectra with Tomosynthesis Images for Breast Cancer Detection
Author :
Tzu-Jen Kao ; Boverman, G. ; Isaacson, D. ; Saulnier, G.J. ; Newell, J.C. ; Moore, R.H. ; Kopans, D.B.
Author_Institution :
Rensselaer Polytech. Inst., Troy
Abstract :
Because the electrical properties of many breast tumors are different from those of surrounding, normal tissue, imaging these properties may provide useful diagnostic information. At the present time, X-ray mammography is the standard imaging modality used for breast cancer screening. The interpretation of EIT imaging is thus enhanced by its use together with X-ray mammography in the same geometry. This paper reports the ability of electrical impedance spectroscopy (EIS) to localize and distinguish cancers from normal tissues. These findings are confirmed by simultaneous, co-registered 3-D mammograms or tomosynthesis images and are verified with biopsy reports.
Keywords :
bioelectric phenomena; cancer; diagnostic radiography; mammography; tumours; 3D mammograms; X-ray mammography; breast cancer detection; breast cancer screening; breast tumors; electrical impedance spectroscopy; regional admittivity spectra; tomosynthesis imaging; Biopsy; Breast cancer; Breast tumors; Cancer detection; Electrochemical impedance spectroscopy; Geometry; Mammography; Optical imaging; Tomography; X-ray imaging; Biopsy; Breast Neoplasms; Electric Impedance; Female; Humans; Image Processing, Computer-Assisted; Mammography; Predictive Value of Tests; Radiographic Image Enhancement;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353248