Microwave radiometry has been investigated for non-invasive measuremen
t of temperature in human body. Recent trends are to explore the capab
ility of retrieving a temperature profile or map from a set of brightn
ess temperatures measured by a multifrequency radiometer operating in
a 1-6 GHz range. The retrieval of temperature from the multifrequency
measurement data is formulated as an inverse problem in which the numb
er of independent measurement or data is limited (less than or equal t
o 7) and the data suffer from considerably large random fluctuations;
The standard deviation of the data fluctuation is given by the brightn
ess temperature resolution of the instrument (0.04-0.1K). Solutions ar
e prone to instabilities and large errors unless proper solution metho
ds are used. Solution methods developed during the last few years are
reviewed: singular system analysis, bio-heat transfer solution matched
with radiometric data, and model-fitting combined with Monte Carlo te
chnique. Typical results obtained by these methods are presented to in
dicate a crosssection of the present-state-of-the-development in the f
ield. This review concludes with discussions on the radiometric weight
ing function which connects physical temperatures in object to the bri
ghtness temperature. Three-dimensional weighting functions derived by
the modal analysis and the FDTD method for a rectangular waveguide ant
enna coupled to a four layered lossy medium are discussed. Development
of temperature retrieval procedures incorporating the 3-D weighting f
unctions is an important and challenging task for future work in this
field.