693.932 PEOPLE
| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Joachimowicz, Nadine
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (8/8 displayed)
- 2020Non-destructive Control of Fruit Quality via Millimeter Waves and Classification Techniquescitations
- 2020Microwave Imaging II: Diffraction Tomographycitations
- 2017Reference phantoms for microwave imagingcitations
- 2016Quantitative Microwave Tomography for Non-invasive Control of Hyperthermia. Preliminary Numerical Resultscitations
- 2016Easy-to-produce adjustable realistic breast phantoms for microwave imagingcitations
- 2014Breast Phantoms for Microwave Imagingcitations
- 2011Dielectric Metrology VIA Microwave Tomography: Present and Futurecitations
- 2003EV6: Experimental validation of sensor interaction compensation scheme for microwave imaging
Places of action
| Organizations | Location | People |
|---|
article
Quantitative Microwave Tomography for Non-invasive Control of Hyperthermia. Preliminary Numerical Results
Abstract
This paper presents some preliminary results obtained by using a Newton-Kantoro- vitch iterative scheme for retrieving the complex permittivity profile in biological targets via active microwave imaging. On the contrary to classical diffraction tomography, this technique provides quantitative imaging of the dielectric properties. This technique has been used for the reconstruction of the complex permittivity of a simulated human cross-section and has been compared to the results obtained by means of classical diffraction tomography. Furthermore, the ability to detect thermal gradients has been assessed by considering Emulated hot spots.