US 6,208,139 B1 · System and method of phase sensitive MRI reconstruction using partial k-space data

Abstract

A system and method for phase sensitive MRI reconstruction using partial k-space data to reduce either scan time or echo time, depending on whether partial echo or partial NEX MR data is acquired, that retains phase information and reduces edge blurring in a magnetic resonance image. Phase sensitive partial k-space data reconstruction improves upon the homodyne reconstruction process to estimate and correct for an edge blurring convolution error term in a partial echo or partial NEX data while preserving phase information. The phase sensitive partial k-space reconstruction includes Fourier transforming and filtering the partial k-space data through high and low-pass filters, and a linear combination of both, and estimating a blurring correction term, representative of a convolution error factor, from a portion of the filtered data set. Once the blurring correction factor is determined, it is applied to remove the convolution error term from the filter data set in order to reconstruct an MRI having, both magnitude and phase information while minimizing edge blurring that normally results from partial k-space data acquisition.

Claims23

Dependent claims

A method of phase sensitive magnetic resonance image (MRI) reconstruction using partial k-space data comprising the steps of:

acquiring a partial k-space data set having both imaginary and real components containing both magnitude and phase information;
filtering the partial k-space data set through high and low-pass filters and a linear construction of both;
Fourier transforming the filtered data set;
estimating a blurring correction factor representative of a convolution error term from a portion of the filtered data set;
and
applying the blurring correction factor to the filtered data set to remove the convolution error term and reconstruct an MRI having both magnitude and phase information thereby minimizing edge blurring in the reconstructed MRI.

3 more elements

A system to correct edge blurring in an image reconstructed with partial k-space data comprising:

a magnetic resonance imaging system having a plurality of gradient coils positioned about a bore of a magnet to impress a polarizing magnetic field and an RF transceiver system and an RF modulator controlled by a pulse control module to transmit RF signals to an RF coil assembly to acquire MR images;
and
a computer programmed to:
acquire a partial k-space data set having both magnitude and phase information;
filter the partial k-space data set through high and low-pass filters and a linear combination of both the high and low-pass filters;
Fourier transform the filtered data set;
estimate a blurring correction factor representative of a convolution error term from a portion of the filtered data set;
and
apply the blurring correction factor to the filtered data set to remove the convolution error term and reconstruct an MRI preserving both magnitude and phase information while minimizing edge blurring in the reconstructed MRI.

6 more elements

Dependencies are inferred from the claim text.

System and method of phase sensitive MRI reconstruction using partial k-space data

Life of this patent

System and method of phase sensitive MRI reconstruction using partial k-space data

Life of this patent

Abstract

Claims23