DocumentCode
1233409
Title
Regional Admittivity Spectra With Tomosynthesis Images for Breast Cancer Detection: Preliminary Patient Study
Author
Kao, Tzu-Jen ; Boverman, Gregory ; Kim, Bong Seok ; Isaacson, David ; Saulnier, Gary J. ; Newell, Jonathan C. ; Choi, Myoung H. ; Moore, Richard H. ; Kopans, Daniel B.
Author_Institution
Dept. of Biomed. Eng., Rensselaer Polytech. Inst., Troy, NY
Volume
27
Issue
12
fYear
2008
Firstpage
1762
Lastpage
1768
Abstract
It has been known for some time that many tumors have a significantly different conductivity and permittivity from surrounding normal tissue. This high ldquocontrastrdquo in tissue electrical properties, occurring between a few kilohertz and several megahertz, may permit differentiating malignant from benign tissues. Here we show the ability of electrical impedance spectroscopy (EIS) to roughly localize and clearly distinguish cancers from normal tissues and benign lesions. Localization of these lesions is confirmed by simultaneous, in register digital breast tomosynthesis (DBT) mammography or 3-D mammograms.
Keywords
biological organs; biomedical measurement; cancer; electric impedance imaging; mammography; tumours; benign lesion; breast cancer detection; conductivity; digital breast tomosynthesis; electrical impedance spectroscopy; electrical impedance tomography; mammography; permittivity; regional admittivity spectra; tissue electrical properties; tumors; Biomedical engineering; Breast cancer; Breast neoplasms; Breast tumors; Cancer detection; Electrochemical impedance spectroscopy; Lesions; Mammography; Surface impedance; Tomography; Breast cancer detection; breast cancer detection; digital breast tomosynthesis (DBT) mammography; digital breast tomosynthesis mammography; electrical impedance spectroscopy; electrical impedance spectroscopy (EIS); electrical impedance tomography; electrical impedance tomography (EIT); Algorithms; Breast Neoplasms; Electric Impedance; Female; Humans; Image Processing, Computer-Assisted; Linear Models; Mammography; Predictive Value of Tests; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Tomography;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/TMI.2008.926049
Filename
4530643
Link To Document