Numerical solution for a hand-held high-resolution medical scanner
Sahar Borzooei
Doctoral Candidate in 2nd year
Abstract
The Ph.D subject concerns in a broad sense the domain of applied mathematics and scientific computing for medical applications and will be developed in close collaboration with Lincoln Agritech, New Zealand, an Independent R&D provider to the private sector and government and university hospital of Nice. The candidate works on the mathematical and numerical modelling of a hand-held medical imaging scanner that delivers high resolution imaging for use by healthcare practitioners, as well as in the development of a reconstruction algorithm based on Open Source FEM codes.
In more detail a high resolution scanner in Microwave frequency will be designed by solving Maxwell equations. Every deficiency in the body can change the normal permittivity of the organs inside the body, so the scanner will detect these unknown permittivities based on FEM simulations.
Compared to the classical imaging systems Microwave technology offers the potential for a low-cost, non-invasive modality in a non-ionizing range of the frequency spectrum that is of importance in the sense of being harmless.
In more detail a high resolution scanner in Microwave frequency will be designed by solving Maxwell equations. Every deficiency in the body can change the normal permittivity of the organs inside the body, so the scanner will detect these unknown permittivities based on FEM simulations.
Compared to the classical imaging systems Microwave technology offers the potential for a low-cost, non-invasive modality in a non-ionizing range of the frequency spectrum that is of importance in the sense of being harmless.
Supervisors
- Prof. Victorita Dolean, Jean Alexandre Dieudonné Laboratory of mathematics (LJAD)
- Prof. Claire Migliaccio , Laboratory of Electronics, Antennas and Telecommunications (LEAT)
- Tutor from Academia
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Senior Researcher Juliette Leblond, Inria
- Mentor from Industry
- Information will be available soon!
International 6-months secondment in New Zealand
in the supervision of Senior researcher Ian Platt, Lincoln Agritech Ltd