M
M. Mongiardo
Researcher at University of Rome Tor Vergata
Publications - 9
Citations - 78
M. Mongiardo is an academic researcher from University of Rome Tor Vergata. The author has contributed to research in topics: Radiometry & Deconvolution. The author has an hindex of 7, co-authored 9 publications receiving 78 citations.
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Journal ArticleDOI
Singular system analysis of the inversion of microwave radiometric data: applications to biological temperature retrieval
TL;DR: In this article, the inversion of microwave radiometric data for the determination of temperature distributions in the human body has been studied and the results of some numerical inversions are also presented in order to assess the effectiveness and the practicability of the mathematical technique.
Proceedings ArticleDOI
Inversion of Microwave Thermographic Data by the Singular Function Method
TL;DR: In this article, the potential of the singular function method for retrieving temperature profiles in biological structures from microwave radiometric data is examined, and a numerical simulation has been carried out in which the temperature distribution during hyperthermic treatments is reconstructed from radiometric measurements both at six and four frequencies.
Proceedings ArticleDOI
Biological Temperature Retrieval by Scanning Radiometry
TL;DR: In this paper, the retrieval of two-dimensional thermal fields in biological bodies from multispectral microwave measurements by a scanning waveguide applicator has been studied using a two-step solution (transverse deconvolution and profile retrieval).
Journal ArticleDOI
Retrieval of hyperthermia-induced temperature distribution from noisy microwave radiometric data
TL;DR: In this paper, the subcutaneous temperature distribution of a simulated hyperthermic treatment is retrieved from a set of noisy radiometric measurements at six equally spaced frequencies in the range 1.5?6.5 GHz.
Journal ArticleDOI
Synthetic Array for Radiometric Retrieval of Thermal Fields in Tissues
TL;DR: In this paper, the feasibility of reconstructing the thermal field in biological tissues from brightness data measured by an array of microwave antennas is investigated through a numerical simulation, which does not make use of phase information and is synthesized through the Kalman filter algorithm.