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Model-based optimal design of a magnetic nanoparticle tomographic imaging setup

Rikkert Van Durme (UGent) , Annelies Coene (UGent) , Guillaume Crevecoeur (UGent) and Luc Dupré (UGent)
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Abstract
Magnetic nanoparticles (MNP) have promising applications in biomedicine for therapeutic and diagnostic purposes. To optimally alleviate their possibilities in the human body, non-invasive imaging is required to obtain knowledge on their spatial distribution. In this paper a model is developed that allows to optimize a setup for tomographic imaging of MNPs in order to improve their spatial reconstructions, without the need of extensive calibration measurements. The advantage of this model is that setup design parameters can be taken into account and their impact on the stability and accuracy of the reconstruction can be estimated a priori. Additionally, sources of imaging errors, such as misplaced sensors, can be assessed. Finally, an existing particle imager is optimized so as to improve its imaging capabilities using numerical constrained optimization tools. At realistic noise conditions, an increase in reconstruction quality from 20% to 90% is observed after optimization of a standard setup.
Keywords
Modeling - Image formation, Inverse methods, Image reconstruction - analytical & iterative methods

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MLA
Van Durme, Rikkert et al. “Model-based Optimal Design of a Magnetic Nanoparticle Tomographic Imaging Setup.” 2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018) . IEEE, 2018. 369–372. Print.
APA
Van Durme, R., Coene, A., Crevecoeur, G., & Dupré, L. (2018). Model-based optimal design of a magnetic nanoparticle tomographic imaging setup. 2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018) (pp. 369–372). Presented at the 15th IEEE International Symposium on Biomedical Imaging (ISBI) , IEEE.
Chicago author-date
Van Durme, Rikkert, Annelies Coene, Guillaume Crevecoeur, and Luc Dupré. 2018. “Model-based Optimal Design of a Magnetic Nanoparticle Tomographic Imaging Setup.” In 2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018) , 369–372. IEEE.
Chicago author-date (all authors)
Van Durme, Rikkert, Annelies Coene, Guillaume Crevecoeur, and Luc Dupré. 2018. “Model-based Optimal Design of a Magnetic Nanoparticle Tomographic Imaging Setup.” In 2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018) , 369–372. IEEE.
Vancouver
1.
Van Durme R, Coene A, Crevecoeur G, Dupré L. Model-based optimal design of a magnetic nanoparticle tomographic imaging setup. 2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018) . IEEE; 2018. p. 369–72.
IEEE
[1]
R. Van Durme, A. Coene, G. Crevecoeur, and L. Dupré, “Model-based optimal design of a magnetic nanoparticle tomographic imaging setup,” in 2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018) , Washington D.C., 2018, pp. 369–372.
@inproceedings{8561151,
  abstract     = {Magnetic nanoparticles (MNP) have promising applications in biomedicine for therapeutic and diagnostic purposes. To optimally alleviate their possibilities in the human body, non-invasive imaging is required to obtain knowledge on their spatial distribution. In this paper a model is developed that allows to optimize a setup for tomographic imaging of MNPs in order to improve their spatial reconstructions, without the need of extensive calibration measurements. The advantage of this model is that setup design parameters can be taken into account and their impact on the stability and accuracy of the reconstruction can be estimated a priori. Additionally, sources of imaging errors, such as misplaced sensors, can be assessed. Finally, an existing particle imager is optimized so as to improve its imaging capabilities using numerical constrained optimization tools. At realistic noise conditions, an increase in reconstruction quality from 20% to 90% is observed after optimization of a standard setup.},
  author       = {Van Durme, Rikkert and Coene, Annelies and Crevecoeur, Guillaume and Dupré, Luc},
  booktitle    = {2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018) },
  isbn         = {9781538636367},
  issn         = {1945-8452},
  keywords     = {Modeling - Image formation,Inverse methods,Image reconstruction - analytical & iterative methods},
  language     = {eng},
  location     = {Washington D.C.},
  pages        = {369--372},
  publisher    = {IEEE},
  title        = {Model-based optimal design of a magnetic nanoparticle tomographic imaging setup},
  url          = {http://dx.doi.org/10.1109/ISBI.2018.8363595},
  year         = {2018},
}

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