Abstract
A novel time-domain spectroscopic EPR imaging approach, that is a unique combination of already known techniques, is described. The first one is multi-gradient Single Point Imaging involving pure phase-encoding where the oximetry is based on T2∗. Line width derived from T2∗ is subject to susceptibility effects and therefore needs system-dependent line width calibrations. The second approach utilizes the conventional 90°–τ–180° Spin-Echo pulse sequence where the images are obtained by the filtered back-projection after FT of the echoes collected under frequency-encoding gradients. The spatially resolved oximetry information is derived from a set of T2-weighted images. The back-projection images suffer susceptibility artifacts with resolution determined by T2∗, but the oximetry based on T2 is quite reliable. The current approach combines Single Point Imaging and the Spin-Echo procedure to take advantage the enhanced spatial resolution associated with the former and the T2 dependent contrast of the latter. Pairs of images are derived choosing two time points located at identical time intervals on either side of the 180° pulse. The refocusing pulse being exactly in the middle of the two points ensures that artifacts associated with susceptibility and field inhomogeneities are eliminated. In addition, the net phase accumulated by the two time points being identical results in identical field of views, thus avoiding the zoom-in effect as a function delay in regular SPI and the associated interpolation requirements employed in T2∗-weighted oximetry. The end result is superior image resolution and reliable oximetry. In spite of the fact that projection–reconstruction methods require less number of measurements compared to SPI, the enormous advantage in SNR of the SPI procedure makes the echo-based SPI equally efficient in terms of measurement time. The Fourier reconstruction, line width independent resolution and the true T2-weighting make this novel procedure very attractive for in vivo EPR imaging of tissue oxygen quantitatively.
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