Quantitative 2D Magnetorelaxometry Imaging of Magnetic Nanoparticles using Optically Pumped Magnetometers.

magnetic nanoparticles magnetorelaxometry imaging optically pumped magnetometers

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
29 Jan 2020
Historique:
received: 30 12 2019
revised: 23 01 2020
accepted: 27 01 2020
entrez: 5 2 2020
pubmed: 6 2 2020
medline: 6 2 2020
Statut: epublish

Résumé

For biomagnetical applications exploiting physical properties of magnetic nanoparticles (MNP), e.g., magnetic hyperthermia, knowledge about the quantitative spatial MNP distribution is crucial, which can be extracted by magnetorelaxometry (MRX) imaging. In this paper, we present quantification, quantitative 1D reconstruction, and quantitative 2D imaging of MNP by exploiting optically pumped magnetometers for MRX. While highlighting the potential of commercially available optically pumped magnetometers (OPM) for MRXI, we discuss current limitations of the used OPM. We show, that with our OPM setup, MNP can be precisely quantified with iron amounts down to ≈ 6 g , which can be improved easily. With a 1D-reconstruction setup, point-like and complex MNP phantoms can be reconstructed quantitatively with high precision and accuracy. We show that with our developed 2D MRX imaging setup, which measures 12 c m by 8 c m , point-like MNP distributions with clinically relevant iron concentrations can be reconstructed precisely and accurately. Our 2D setup has the potential to be easily extended to a tomography styled (and thus slice-selective) 3D scanner, by adding a mechanical axis to the phantom.

Identifiants

pubmed: 32013245
pii: s20030753
doi: 10.3390/s20030753
pmc: PMC7038374
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : BA4858/2-1
Organisme : Deutsche Forschungsgemeinschaft
ID : WI4230/1-3
Organisme : Deutsche Forschungsgemeinschaft
ID : KO5321/3
Organisme : Deutsche Forschungsgemeinschaft
ID : TR408/11
Organisme : Deutscher Akademischer Austauschdienst
ID : 57402032
Organisme : EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme
ID : 16NRM04

Références

Rev Sci Instrum. 2007 Mar;78(3):035106
pubmed: 17411216
Phys Med Biol. 2017 Apr 21;62(8):3139-3157
pubmed: 28165335
Biomed Tech (Berl). 2015 Oct;60(5):427-43
pubmed: 26439595
Nature. 2003 Apr 10;422(6932):596-9
pubmed: 12686995
Phys Med Biol. 2014 Nov 7;59(21):6607-20
pubmed: 25321617
Pharm Res. 2012 May;29(5):1189-202
pubmed: 22161287
J Nanosci Nanotechnol. 2006 Sep-Oct;6(9-10):3222-5
pubmed: 17048540

Auteurs

Aaron Jaufenthaler (A)

Institute of Electrical and Biomedical Engineering, UMIT - Private University for Health Sciences, Medical Informatics and Technology, 6060 Hall in Tirol, Austria.

Peter Schier (P)

Institute of Electrical and Biomedical Engineering, UMIT - Private University for Health Sciences, Medical Informatics and Technology, 6060 Hall in Tirol, Austria.

Thomas Middelmann (T)

Department Biosignals, PTB - Physikalisch-Technische Bundesanstalt, 10587 Berlin, Germany.

Maik Liebl (M)

Department Biosignals, PTB - Physikalisch-Technische Bundesanstalt, 10587 Berlin, Germany.

Frank Wiekhorst (F)

Department Biosignals, PTB - Physikalisch-Technische Bundesanstalt, 10587 Berlin, Germany.

Daniel Baumgarten (D)

Institute of Electrical and Biomedical Engineering, UMIT - Private University for Health Sciences, Medical Informatics and Technology, 6060 Hall in Tirol, Austria.
Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, 98693 Ilmenau, Germany.

Classifications MeSH