Recovering Data for Free Induction Decay Signal for MRI Reconstruction with Interpolation

The problem of magnetic resonance tomographical reconstruction for irregular filling data for free-induction decay signal and the measurements of points in the gradient K-space are considered. The procedure of measuring signals with the irregularity of magnitude, which depends on the distance from the center of the K-space area, is realized. Interpolation methods have been proposed for completing the missed measurements. The reconstructed tomograms for tomographic experiment special conditions are analyzed. Examples of reconstructed images for different degrees of signal irregularity are given. The operation of the measuring system response signal was simulated for this purpose. A real tomographic image was chosen as the object for calculating the signals. Quantitative characteristics of the reconstruction quality dependence for data irregularity different fractions were determined for several types of images. In particular weighted by spin density, spin-spin relaxation time and spin-lattice relaxation time tomograms were considered. A mutual comparison of the signals set characteristics sensitivity for different pulse sequences was carried out which determine the reconstruction type. Histograms were constructed to compare the images generalized characteristics. It is shown that the processing method application a previously measured signal before reconstruction allows partial compensation of the signals set non-ideality and restoration of higher quality medical tomographic images. The conditions are found for high quality visualization for signal data incomplete set for real tomograms. The scope of the application for measured signal preprocessing methods array are proposed in particular for tomographic equipment with a smaller magnetic field constant component.