2021
DOI: 10.1088/1361-6560/ac36e8
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Evaluating selection criteria for optimized excitation coils in magnetorelaxometry imaging

Abstract: Objective. Magnetorelaxometry imaging (MRXI) is an experimental imaging technique applicable for noninvasive, qualitative and quantitative imaging of magnetic nanoparticles (MNPs). Accurate reconstructions of nanoparticle distributions are crucial for several novel treatment methods employing MNPs such as magnetic drug targeting or magnetic hyperthermia therapy. Hence, it is desirable to design MRXI setups such that the reconstruction accuracy is maximized for a given set of design parameters. Several attempts… Show more

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Cited by 6 publications
(11 citation statements)
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“…Initially, a large number of coils with different positions and radii were placed around the cuboidal as well as the cylindrical ROIs in our MRXI simulation environment. The first part of the optimization process involved the selection of a subset of Nc=32$N_\mathrm{c}=32$ coils with minimal κfalse(boldLfalse)$\kappa (\mathbf {L})$ out of these large coil configurations by means of global tabu search optimization 35 . According to the results shown in this study, a coil count of Nc=32$N_\mathrm{c}=32$ is suitable for ROIs of this size and the PTB sensor system.…”
Section: Methodsmentioning
confidence: 98%
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“…Initially, a large number of coils with different positions and radii were placed around the cuboidal as well as the cylindrical ROIs in our MRXI simulation environment. The first part of the optimization process involved the selection of a subset of Nc=32$N_\mathrm{c}=32$ coils with minimal κfalse(boldLfalse)$\kappa (\mathbf {L})$ out of these large coil configurations by means of global tabu search optimization 35 . According to the results shown in this study, a coil count of Nc=32$N_\mathrm{c}=32$ is suitable for ROIs of this size and the PTB sensor system.…”
Section: Methodsmentioning
confidence: 98%
“…The condition number is calculated by κboldL=‖‖L2‖‖boldL+2,\begin{align} \kappa {\left(\mathbf {L}\right)} = {\left\Vert \mathbf {L}\right\Vert} _2 {\left\Vert \mathbf {L}^+\right\Vert} _2, \end{align}where ·2$\Vert \cdot \Vert _2$ represents the spectral matrix norm and boldL+$\mathbf {L}^+$ denotes the Moore–Penrose inverse of the system matrix. The condition number is an indicator for the stability of linear inverse problems 40,41 and it was shown in a simulation study that the minimization of κfalse(boldLfalse)$\kappa (\mathbf {L})$ is an effective approach to optimize the reconstruction quality of MRXI setups 35 …”
Section: Methodsmentioning
confidence: 99%
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“…Other MNP imaging techniques, still in their infancy compared to MPI, have in the last years mainly focused on improving their imaging performance [46][47][48][49][50] . Nevertheless, they might also contribute in advancing theranostic applications, as each technique has its distinct advantages.…”
Section: A Towards a Theranostic Mnp Imaging Techniquementioning
confidence: 99%