SYSTEM AND METHOD FOR HIGH-RESOLUTION SPECTROSCOPIC IMAGING

摘要

A new method is developed to accelerate high-resolution magnetic resonance spectroscopic imaging (MRSI). The method is built on a low-dimensional subspace model exploiting the partial separability of high-dimensional MRSI signals and uses this subspace model for data acquisition, processing, and image reconstruction. Specifically for two and three dimensional MRSI with one spectral dimension, this method sparsely samples the corresponding (k,t)-space in two complementary data sets, one with dense temporal sampling and high signal-to-noise ratio but limited k-space coverage and the other with sparse temporal sampling but extended k-space coverage. The reconstruction is then done by estimating a set of temporal/spectral basis functions and the corresponding spatial coefficients from these two data sets. The proposed subspace model can be further extended to incorporate multiple signal components for nuisance signal removal in 1H-MRSI and more generalized reconstruction methods. The resulting imaging technique can be used for high-resolution MRSI of different nuclei. It will be useful for high-resolution metabolic imaging with many exciting applications.

主权项

1. A device to acquire spatiospectral distributions from an object, the device comprising:
a magnetic field generator that generates a strong static magnetic field, the object being positioned therein; a plurality of gradient coils positioned about a bore of a magnet; an RF transceiver controlled by a pulse module that transmits RF signals to an RF coil assembly and that receives MR signals; and a computer which, responsive to executing instructions, performs operations comprising:
acquiring sparsely sampled spatiospectral encoded data; andreconstructing spatiospectral functions from the sparsely sampled spatiospectral encoded data.