Unit:
Κατεύθυνση Ιατρική Φυσική-ΑκτινοφυσικήLibrary of the School of Health Sciences
Supervisors info:
Ευστάθιος Στυλιάρης, Αναπληρωτής Καθηγητής, Τμήμα Φυσικής, ΕΚΠΑ
Παντελής Καραίσκος, Καθηγητής, Ιατρική σχολή, ΕΚΠΑ
Πηνελόπη Μπουζιώτη, Ερευνήτρια, Εργαστήριο Ραδιοφαρμακολογικών Μελετών Ινστιτούτο Ραδιοϊσοτόπων Ραδιοδιαγνωστικών Προϊόντων, Ε.Κ.Ε.Φ.Ε «Δημόκριτος»
Original Title:
Fundamentals of magnetic particle imaging: a simulation study
Translated title:
Fundamentals of magnetic particle imaging: a simulation study
Summary:
Operating principles of Magnetic Particle Imaging (MPI) and reconstruction using the Algebraic Reconstruction Technique (ART) under the influence of noise that exists in Magnetic Particle Imaging with a Field Free Line encoding scheme images, are examined in this Thesis.
The aim of this study is first to introduce MPI and all the necessary aspects for the understanding of its basic operating principles and then examine the effect that the generated noise in MPI causes on the quality of resulting images using iterative reconstruction techniques. To carry out this study, MPI simulations were performed using the COMSOL Multiphysics software package. Two MPI scanners, one with Field Free Point (FFP) and one with Field Free Line (FFL) encoding scheme were simulated in order to prove the principle of operation. The magnetic behavior of superparamagnetic iron oxide (SPIO) nanoparticles that are used as tracers in MPI was also simulated. In the imaging process, a three-source software phantom was created and reconstructed in order to test the performance of the Algebraic Reconstruction Technique for different numbers of projections. In addition, a Digital Subtraction Angiography (DSA) image of an internal carotid artery with a sacciform aneurysm was converted into a software phantom which was later reconstructed using ART. In order to consider the noise in the MPI signal, a combined model with Gauss like noise and linear attenuation was added. The effect of the noise in the reconstructed image was evaluated.
Main subject category:
Health Sciences
Keywords:
Medical imaging, Nanoparticles, Magnetic particle imaging (MPI), Tomographic image reconstruction, Physical systems modeling, COMSOL
