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Content Provider | IEEE Xplore Digital Library |
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Author | Meaney, P.M. Fanning, M.W. di Florio-Alexander, R.M. Kaufman, P.A. Geimer, S.D. Tian Zhou Paulsen, K.D. |
Copyright Year | 2010 |
Description | Author affiliation: Dartmouth Hitchcock Medical Center in Lebanon, NH USA (di Florio-Alexander, R.M.; Kaufman, P.A.) || Thayer School of Engineering at Dartmouth College, Hanover, NH USA (Meaney, P.M.; Fanning, M.W.; Geimer, S.D.; Paulsen, K.D.) || Dartmouth College, USA (Tian Zhou) |
Abstract | The notion of applying microwave imaging to breast cancer imaging has been studied at various levels by numerous scientists. The earliest appeal of this concept related to the presumably high property contrast between benign and malignant tissue that was unique to the breast. Subsequent published studies have shown that this assumption was overly simplistic and that the tissue property heterogeneity is considerable within the breast. As we have expanded the clinical use of our microwave tomographic system, we are now using this approach to monitor tumor progressions during neoadjuvant chemotherapy. In these cases, while we can still characterize and track the tumor progression, we have observed a new phenomenon. Very often these cancer patients exhibit skin thickening near the tumor site. Our images have reconstructed elevated dielectric properties along the breast surface associated with the accompanying edema. These observations further add to the complex nature of breast dielectric properties and the challenges for imaging them using microwave interrogation. |
Starting Page | 3398 |
Ending Page | 3401 |
File Size | 1287562 |
Page Count | 4 |
File Format | |
ISBN | 9781424441235 |
ISSN | 1557170X |
DOI | 10.1109/IEMBS.2010.5627932 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-08-31 |
Publisher Place | Argentina |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Breast Microwave imaging Microwave theory and techniques Tumors Image reconstruction Dielectrics |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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