Method for estimating a grappa reconstruction kernel
AssigneeThe Ohio State University
InventorsYu Ding, Orlando Simonetti
Life of this patent
Estimating the term…
Abstract
A method for improving the signal-to-noise ratio (SNR) of TGRAPPA. The SNR of the ACS lines is proportional to the condition number of the GRAPPA kernel encoding equations. Therefore, the GRAPPA kernel estimated from higher SNR ACS lines amplifies the random noise in GRAPPA reconstruction. In TGRAPPA reconstruction of dynamic image series, a widely used method to acquire ACS lines is to average-all-frame (AAF). The present disclosure utilizes a tile-all-frame (TAF) as ACS lines to improve the SNR of the reconstructed images.
Claims20
A method of determining a k-space convolution kernel in GRAPPA reconstruction of magnetic resonance imaging, comprising:
- acquiring plural frames of 2-D images or 3-D images at a same slice location (2-D) or slab location (3-D);
- acquiring k-space data of the plural frames of 2-D images or 3-D images;
- providing at least two sets of ACS lines from the acquired k-space data;
- and
- utilizing a number of linear equations estimate the k-space convolution kernel that is greater than a number of linear equations that could be derived from one set of ACS lines.
A method of determining a k-space convolution kernel in a k-space based reconstruction method that has at least one implicit k-space convolution kernel estimation step, comprising:
- acquiring k-space data of plural frames of images at a same location;
- providing at least two sets of ACS lines from the acquired k-space data;
- and
- utilizing a number of linear equations estimate the k-space convolution kernel that is greater than a number of linear equations that could be derived from one set of ACS lines.
A computer readable medium containing computer-executable instruction that when executed by a processor of a computing device performs a method of determining a k-space convolution kernel in GRAPPA reconstruction of magnetic resonance imaging, comprising:
- acquiring plural frames of 2-D images or 3-D images at a same slice location (2-D) or slab location (3-D);
- acquiring k-space data of the plural frames of 2-D images or 3-D images;
- providing at least two sets of ACS lines from the acquired k-space data;
- and
- utilizing a number of linear equations estimate the k-space convolution kernel that is greater than a number of linear equations that could be derived from one set of ACS lines.
Dependencies are inferred from the claim text.