A large-scale study of the ultrawideband microwave dielectric properties of normal breast tissue obtained from reduction surgeries
By Mariya Lazebnik, L. McCartney, D. Popovic, C. B. Watkins, M. Lindstrom, J. Harter, S. Sewall, A. Magliocco, John H. Booske, Michal M. Okoniewski and 1 more. Physics in Medicine and Biology, 2007
708 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/88c0c33a295bef91a6393df246a2e663f86f7617
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Natalia K. Nikolova
- Elise C. Fear
- Susan C. Hagness
- Barry D. Van Veen
- Nguyen Duc Thang
- Hooi Been Lim
- Nguyen Thi Tuyet Nhung
- E. Li
In Electrical and Electronic Engineering
- Natalia K. Nikolova
- Susan C. Hagness
- Barry D. Van Veen
- John H. Booske
- Elise C. Fear
- Michal M. Okoniewski
In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- Microwave Imaging for Breast Cancer (2011, background): “The data are unsatisfactory also because they were acquired either from measurements of ex vivo (excised tissue) samples [32], [33] or through indirect estimation of the in vivo tissue electrical parameters using microwave tomography [34].”
- Development of Anatomically Realistic Numerical Breast Phantoms with Accurate Dielectric Properties for Modeling Microwave Interactions with the Human Breast (2008, methodology): “dielectric heterogeneity reported in [32] and [33].”
- Microwave Breast Imaging With a Monostatic Radar-Based System: A Study of Application to Patients (2013, background): “Recent studies examined the permittivity and conductivity of excised breast tissue samples over a broad frequency range, suggesting complex distributions of the properties of healthy tissues in the breast [7].”
- Confocal Microwave Imaging for Breast Cancer Detection: Delay-Multiply-and-Sum Image Reconstruction Algorithm (2008, background): “The effectiveness and robustness of DMAS can further be demonstrated by using numerical breast phantoms derived from anatomically realistic MRI-derived FDTD breast models, where natural spatial heterogeneity of breast tissues and realistic dielectric contrast between normal and malignant tissues [ 1”
- A large-scale study of the ultrawideband microwave dielectric properties of normal, benign and malignant breast tissues obtained from cancer surgeries (2007, methodology): “Histology slides were created from inked tissue sections as described in Lazebnik et al (2007a). Digital images of the histology slides were captured using an optical microscope, and marked with the cross-sectional dimensions of the sensing volume (3 mm × 7 mm).”
- Radar-Based Breast Cancer Detection Using a Hemispherical Antenna Array—Experimental Results (2009, background): “Recently published data in [27], based on a large clinical study, suggest that the contrast between healthy and malignant breast tissues might be lower.”
- Photoacoustic tomography and sensing in biomedicine (2009, background): “Thus, RF absorption in breast tumor can be much higher than in normal tissue, especially in breasts with high adipose concentration [157,158].”