High spatial resolution multi-site EPR oximetry. The use of convolution-based fitting method.
We describe a new method to enhance the spatial resolution of multi-site electron paramagnetic resonance (EPR) oximetry. The method is suitable for any shape (density distribution function) of a solid paramagnetic material implanted in tissue. It corrects distortions of lineshapes caused by the gradient and thus overcomes limitations of previous multi-site EPR oximetry methods that restricted the ratio of the particle size to the distance between sites. The new method is based on consecutive applications of magnetic field gradients with the same direction but with a different magnitude and uses a convolution-based fitting algorithm to derive Lorentzian EPR linewidths of each individual peak of the EPR spectrum. The method is applicable for any particulate EPR oxygen sensitive materials whose EPR spectra can be approximated by a Lorentzian function or a superposition of Lorentzian functions. By incorporating this model of the lineshape in the data processing, we are able to decrease significantly the number of parameters needed for the calculations and to recover the oxygen concentration, even from quite noisy spectra. We (i) describe our method and the data-processing algorithm, (ii) demonstrate our approach in model and in vivo experiments, and (iii) discuss the limitations.
Grinberg
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EPR Center for the Study of Viable Systems, Department of Radiology, Dartmouth Medical School, Hinman Box 7785, Vail Building, Room 703, Hanover, New Hampshire 03755, USA. oleg.grinberg@dartmouth.edu
Smirnov
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Swartz
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D000465:Algorithms; D004578:Electron Spin Resonance Spectroscopy / Q000379:methods*; D010092:Oximetry / Q000295:instrumentation / Q000379:methods*; D010100:Oxygen / Q000378:metabolism*; D014018:Tissue Distribution
D010100:Oxygen