| 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 |
|
Mobashsher, Ahmed Toaha
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (4/4 displayed)
- 2020Implantable sensor for detecting changes in the loss tangent of cerebrospinal fluidcitations
- 2016Design and experimental evaluation of a non-invasive microwave head imaging system for intracranial haemorrhage detectioncitations
- 2016Portable Wideband Microwave Imaging System for Intracranial Hemorrhage Detection Using Improved Back-projection Algorithm with Model of Effective Head Permittivitycitations
- 2014Convex optimization approach for stroke detection in microwave head imagingcitations
Places of action
| Organizations | Location | People |
|---|
document
Convex optimization approach for stroke detection in microwave head imaging
Abstract
Convex optimization provides a method of minimization of a convex objective function subject to a convex domain imposed upon it by the problem. For microwave imaging in medical applications, such as head imaging, this technique is seldom investigated. In this paper, a microwave-based head imaging method based on convex optimization is presented. Convex optimization is used to successfully estimate the distribution of relative permittivity of the imaged objects at different directions and thus to improve the quality of the obtained microwave image. The obtained results using 32 antennas surrounding a realistic head model compare favorably with the images from using the traditional microwave head imaging algorithm, which assumes a certain fixed average permittivity for the whole imaged head. The results show that the target representing a bleeding inside the head is properly recovered using the proposed optimization despite using wide range of initial average permittivity values. However, the quality of images produced using the traditional approach depends strongly on the assumed average permittivity.