Despite its recognized value in detecting and characterizing breast disease
, X-ray mammography has important limitations that motivate the quest for a
lternatives to augment the diagnostic tools that are currently available to
the radiologist. The rationale for pursuing electromagnetic methods is str
ong given: the data in the literature, which show that the electromagnetic
properties of breast malignancy are significantly different than normal in
the high megahertz to low gigahertz spectral range, microwave illumination
can effectively penetrate the breast at these frequencies, and the breast i
s a small readily accessible tissue volume, making it an ideal site for dep
loying advanced near-field imaging concepts that exploit model-based image
reconstruction methodology. In this paper, a clinical prototype of a microw
ave imaging system, which actively illuminates the breast with a 16-element
transceiving monopole antenna array in the 300-1000-MHz range, is reported
, Microwave exams have been delivered to five women through a water-coupled
interface to the pendant breast with the participant positioned prone on a
n examination table, This configuration has been found to be a practical, c
omfortable approach to microwave breast imaging, Sessions lasted 10-15 min
per breast and included full tomographic data acquisition at seven differen
t array heights beginning at the chest wall and moving anteriorly toward th
e nipple for seven different frequencies at each array position. This clini
cal experience appears to be the first report of active near-field microwav
e imaging of the breast and is certainly the first attempt to exploit model
-based image reconstructions from in vivo breast data in order to convert t
he measured microwave signals into spatial maps of electrical permittivity
and conductivity, While clearly preliminary, the results are encouraging an
d have supplied some interesting findings. Specifically, it appears that th
e average relative permittivity of the breast as a whole correlates with ra
diologic breast density categorization and may be considerably higher than
previously published values, which have been based on ex vivo tissue specim
ens.