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Rapid parallel reconstruction for arbitrary k-space trajectories containing GRAPPA operator

A MR-PPI, operator technology, used in measuring devices, instruments, measuring magnetic variables, etc.

Inactive Publication Date: 2013-11-06
KONINKLIJKE PHILIPS ELECTRONICS NV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Often, more undersampled datasets can be acquired faster, at the potential cost of introducing undersampled image artifacts

Method used

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  • Rapid parallel reconstruction for arbitrary k-space trajectories containing GRAPPA operator
  • Rapid parallel reconstruction for arbitrary k-space trajectories containing GRAPPA operator
  • Rapid parallel reconstruction for arbitrary k-space trajectories containing GRAPPA operator

Examples

Experimental program
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Embodiment Construction

[0020] refer to figure 1 , an imaging system comprising a magnetic resonance (MR) scanner 10, such as the illustrated Achieva TM MR scanner (available from Koninklijke Philips Electronics N.V., Eindhoven, The Netherlands), or Intera TM or Panorama TM MR scanner (both also available from Koninklijke Philips Electronics N.V.), or another commercially available MR scanner, or a non-commercially available MR scanner, etc. In an exemplary embodiment, the MR scanner includes internal components (not shown) such as to generate static (B 0 ) magnetic field of a superconducting main magnet or a conventional main magnet, several sets of magnetic field gradient coil windings for superimposing a selected magnetic field gradient on this static magnetic field, to be selected for exciting magnetic resonance (usually 1 H magnetic resonance, although excitation of another magnetic resonance nuclei or nuclei is also contemplated) generating radio frequency (B 1 ) field radio frequency excit...

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Abstract

An imaging method comprises acquiring an undersampled magnetic resonance partially parallel imaging (MR-PPI) dataset using a plurality of radio frequency receive coils and reconstructing the under-sampled MR-PPI dataset to generate a reconstructed magnetic resonance (MR) image. The reconstructing includes: (i) using a generalized auto-calibrating partially parallel acquisition (GRAPPA) operator or direct convolution to fill in at least some missing data of the undersampled MR-PPI data-set so as to generate an enhanced dataset; and (ii) using an algorithm other than a GRAPPA operator and other than direct convolution to reconstruct the enhanced dataset or to reconstruct the undersampled MR-PPI dataset using the enhanced dataset as an initialization dataset for an iterative reconstruction algorithm. In some embodiments the MR-PPI dataset is a non-Cartesian dataset and a GRAPPA operator for wider radial bands (GROWL) is used in the operation (i).

Description

technical field [0001] The following relates to the field of magnetic resonance imaging, the field of medical imaging, and related fields. Background technique [0002] Magnetic resonance (MR) imaging is a known medical imaging technique that is also used in veterinary imaging and other imaging applications such as characterizing archaeological artifacts. MR imaging has many advantages over other imaging techniques, such as the absence of ionizing radiation and the availability of various anatomical and functional contrast modes. In functional magnetic resonance imaging (fMRI), contrast modalities are employed to detect functional aspects. For example, in brain fMRI, contrast modalities such as BOLD (Blood Oxygen Level Dependent) are employed, which provide contrast indirectly related to neural activity. In magnetic resonance angiography (MRA), a technique that provides blood contrast is employed. In some MRA procedures, an exogenous magnetic contrast agent is injected in...

Claims

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Application Information

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IPC IPC(8): G01R33/561
CPCG01R33/5611G06T11/005G01R33/4824
Inventor W·林F·黄M·富德勒
Owner KONINKLIJKE PHILIPS ELECTRONICS NV
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