Szczegóły publikacji
Opis bibliograficzny
Development of ferrite-based temperature sensors for magnetic resonance imaging: a study of $Cu_{1-x}Zn_{x}Fe_{2}O_{4}$ / N. A. Alghamdi, J. H. Hankiewicz, N. R. Anderson, K. F. Stupic, R. E. Camley, M. PRZYBYLSKI, J. ŻUKROWSKI, Z. Celiński // Physical Review Applied [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2331-7019. — 2018 — vol. 9 iss. 5, art. no. 054030, s. 054030-1–054030-11. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 054030-9–054030-11. — Publikacja dostępna online od: 2018-05-21. — M. Przybylski – dod. afiliacja: ACMiN
Autorzy (8)
- Alghamdi Noweir
- Hankiewicz Janusz H.
- Anderson Nick R.
- Stupic Karl
- Camley Robert E.
- AGHPrzybylski Marek
- AGHŻukrowski Jan
- Celiński Zbigniew J.
Dane bibliometryczne
| ID BaDAP | 119349 |
|---|---|
| Data dodania do BaDAP | 2019-01-30 |
| Tekst źródłowy | URL |
| DOI | 10.1103/PhysRevApplied.9.054030 |
| Rok publikacji | 2018 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp | |
| Creative Commons | |
| Czasopismo/seria | Physical Review Applied |
Abstract
We investigate the use of Cu1−xZnxFe2O4 ferrites (0.60<x<0.76) as potential sensors for magnetic-resonance-imaging thermometry. Samples are prepared by a standard ceramic technique. Their structural and magnetic properties are determined using x-ray diffraction, scanning electron microscopy, superconducting quantum-interference device magnetometry, and Mössbauer and 3-T nuclear-magnetic-resonance spectroscopies. We use the mass magnetization of powdered ferrites and transverse relaxivity r∗2 of water protons in Ringer’s-solution-based agar gels with embedded micron-sized particles to determine the best composition for magnetic-resonance-imaging (MRI) temperature sensors in the (280–323)-K range. A preclinical 3-T MRI scanner is employed to acquire T∗2 weighted temperature-dependent images. The brightness of the MRI images is cross-correlated with the temperature of the phantoms, which allows for a temperature determination with approximately 1 °C accuracy. We determine that the composition of 0.65<x<0.70 is the most suitable for MRI thermometry near human body temperature.