liu.seSearch for publications in DiVA
System disruptions
There are recurring service disruptions on some of the search portals due to high traffic. We are working to resolve the issue, you may temporarily encounter an error message.
Change search
Link to record
Permanent link

Direct link
Kolbun, Natallia
Publications (3 of 3) Show all publications
Gustafsson, H., Hallbeck, M., Lindgren, M., Kolbun, N., Jonson, M., Engström, M., . . . Zachrisson, H. (2015). Visualization of oxidative stress in ex vivo biopsies using electron paramagnetic resonance imaging. Magnetic Resonance in Medicine, 73(4), 1682-1691
Open this publication in new window or tab >>Visualization of oxidative stress in ex vivo biopsies using electron paramagnetic resonance imaging
Show others...
2015 (English)In: Magnetic Resonance in Medicine, ISSN 0740-3194, E-ISSN 1522-2594, Vol. 73, no 4, p. 1682-1691Article in journal (Refereed) Published
Abstract [en]

PURPOSE: The purpose of this study was to develop an X-Band electron paramagnetic resonance imaging protocol for visualization of oxidative stress in biopsies.

METHODS: The developed electron paramagnetic resonance imaging protocol was based on spin trapping with the cyclic hydroxylamine spin probe 1-hydroxy-3-methoxycarbonyl-2,2,5,5-tetramethylpyrrolidine and X-Band EPR imaging. Computer software was developed for deconvolution and back-projection of the EPR image. A phantom containing radicals of known spatial characteristic was used for evaluation of the developed protocol. As a demonstration of the technique electron paramagnetic resonance imaging of oxidative stress was performed in six sections of atherosclerotic plaques. Histopathological analyses were performed on adjoining sections.

RESULTS: The developed computer software for deconvolution and back-projection of the EPR images could accurately reproduce the shape of a phantom of known spatial distribution of radicals. The developed protocol could successfully be used to image oxidative stress in six sections of the three ex vivo atherosclerotic plaques.

CONCLUSIONS: We have shown that oxidative stress can be imaged using a combination of spin trapping with the cyclic hydroxylamine spin probe cyclic hydroxylamine spin probe 1-hydroxy-3-methoxycarbonyl-2,2,5,5-tetramethylpyrrolidine and X-Band EPR imaging. A thorough and systematic evaluation on different types of biopsies must be performed in the future to validate the proposed technique. Magn Reson Med, 2014.

National Category
Clinical Medicine
Identifiers
urn:nbn:se:liu:diva-113407 (URN)10.1002/mrm.25267 (DOI)000351685900035 ()24753234 (PubMedID)
Available from: 2015-01-19 Created: 2015-01-19 Last updated: 2019-10-14
Lund, E., Adolfsson, E., Kolbun, N. & Gustafsson, H. (2014). EPR imaging of dose distributions aiming at applications in radiation therapy. Radiation Protection Dosimetry, 159(1-4), 130-136
Open this publication in new window or tab >>EPR imaging of dose distributions aiming at applications in radiation therapy
2014 (English)In: Radiation Protection Dosimetry, ISSN 0144-8420, E-ISSN 1742-3406, Vol. 159, no 1-4, p. 130-136Article in journal (Refereed) Published
Abstract [en]

A one-dimensional electron paramagnetic resonance (EPR) imaging method for visualisation of dose distributions in photon fields has been developed. Pressed pellets of potassium dithionate were homogeneously irradiated in a Co-60 radiation field to 600 Gy. The EPR analysis was performed with an X-Band (9.6 GHz) Bruker E540 EPR and EPR imaging spectrometer equipped with an E540 GC2X two-axis X-band gradient coil set with gradients along the y axis (along the sample tube) and z axis (along B-0) and an ER 4108TMHS resonator. Image reconstruction, including deconvolution, baseline corrections and corrections for the resonator sensitivity, was performed using an in-house-developed Matlab code for the purpose to have a transparent and complete algorithm for image reconstruction. With this method, it is possible to visualise a dose distribution with an accuracy of similar to 5 % within +/- 5 mm from the centre of the resonator.

Place, publisher, year, edition, pages
Oxford University Press, 2014
National Category
Clinical Medicine
Identifiers
urn:nbn:se:liu:diva-109275 (URN)10.1093/rpd/ncu142 (DOI)000338829100018 ()24757173 (PubMedID)
Available from: 2014-08-12 Created: 2014-08-11 Last updated: 2017-12-05Bibliographically approved
Kolbun, N., Adolfsson, E., Gustafsson, H. & Lund, E. (2014). High-resolution mapping of 1D and 2D dose distributions using X-band electron paramagnetic resonance imaging. Radiation Protection Dosimetry, 159(1-4), 182-187
Open this publication in new window or tab >>High-resolution mapping of 1D and 2D dose distributions using X-band electron paramagnetic resonance imaging
2014 (English)In: Radiation Protection Dosimetry, ISSN 0144-8420, E-ISSN 1742-3406, Vol. 159, no 1-4, p. 182-187Article in journal (Refereed) Published
Abstract [en]

Electron paramagnetic resonance imaging (EPRI) was performed to visualise 2D dose distributions of homogenously irradiated potassium dithionate tablets and to demonstrate determination of 1D dose profiles along the height of the tablets. Mathematical correction was applied for each relative dose profile in order to take into account the inhomogeneous response of the resonator using X-band EPRI. The dose profiles are presented with the spatial resolution of 0.6 mm from the acquired 2D images; this value is limited by pixel size, and 1D dose profiles from 1D imaging with spatial resolution of 0.3 mm limited by the intrinsic line-width of potassium dithionate. In this paper, dose profiles from 2D reconstructed electron paramagnetic resonance (EPR) images using the Xepr software package by Bruker are focussed. The conclusion is that using potassium dithionate, the resolution 0.3 mm is sufficient for mapping steep dose gradients if the dosemeters are covering only +/- 2 mm around the centre of the resonator.

Place, publisher, year, edition, pages
Oxford University Press, 2014
National Category
Clinical Medicine
Identifiers
urn:nbn:se:liu:diva-109276 (URN)10.1093/rpd/ncu134 (DOI)000338829100025 ()24748487 (PubMedID)
Available from: 2014-08-12 Created: 2014-08-11 Last updated: 2017-12-05Bibliographically approved
Organisations

Search in DiVA

Show all publications