Numerical modeling of antennas of MRI signal image acquisition during relaxation

A numerical technique, based on the combination of a finite element method and a boundary integral method, has been developed to compute the induced signal in MRI antennas. This signal rises from a free movement of precession of the transverse magnetization of the sample to explore. In our modeling, the transverse magnetization represents the magnetic source field. Its flux embraces the antenna to give rise to a sinusoidal current which is very quickly attenuated in time (a few ms); it represents the signal containing all the information of the sample. We here want to find the geometrical and electromagnetic characteristics of the antennas which permit to have a signal to noise ratio as great as possible. In our computation, we have taken into account leading factors such as the distance between the probe and the organ to be explored and also the geometrical and electromagnetic characteristics of the probe. Our modeling of printed circuits MRI antenna has been validated by comparing with experimental measurements and also with an anlytical method. We have developped it by taking into account their geometries and their electromagnetical characteristics in order to have a better signal/noise ratio. We have considered principal factors such as the distance between the antenna and the organ to explore and also the electromagnetic characteristics of the antenna.

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Source https://theses.hal.science/tel-00929832
Author Abidi, Zakia
Maintainer CCSD
Last Updated May 7, 2026, 11:05 (UTC)
Created May 7, 2026, 11:05 (UTC)
Identifier NNT: 2013PA112336
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Imagerie par Résonance Magnétique Médicale et Multi-Modalités (IR4M) ; Université Paris-Sud - Paris 11 (UP11)-Hôpital Bicêtre [AP-HP, Le Kremlin-Bicêtre] ; Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)
creator Abidi, Zakia
date 2013-12-16T00:00:00
harvest_object_id 42b07603-d9a7-421a-b7d8-a3d3cc969f3b
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE