Paper
6 November 1998 General 2D phase correction method for interleaved EPI reconstruction
Haiying Liu
Author Affiliations +
Abstract
Interleaved echo-planar imaging (EPI) and spiral imaging are two fast clinical magnetic resonance imaging (MRI) schemes that obtain k-space signal more efficiency for encoding an object. Since points along their k-space trajectories are from different echo times that may carry different phase and amplified errors originating from the static magnetic field inhomogeneity and nuclear spin relaxation, to form an image free of artifacts, both phase and amplitude errors need to be compensated properly in the image reconstruction. To address this issue, we have develop a general image reconstruction technique which is capable of accomplishing 2D phase correction for image reconstruction of interleaved EPI and spiral data. In this technique we formulated the image reconstructions as a problem of finding an optical solution to a set of linear algebraic equations corresponding to a specific imaging measurement. Furthermore, the phase errors, as well as other constraints known of the image, can be incorporated into these equations. The final solution can be obtained by solving the equation via an iterative procedure, free of k-space data gridding. Images with 2D phase correction have been successfully reconstructed using a set of imaging data acquired on a clinical MRI scanner. The significance of the work is that it has demonstrated that the 2D spatial phase correction can be accomplished for a set of interleaved EPI acquisition. Also, this is a flexible image reconstruction method for further improving the resulting image quality.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haiying Liu "General 2D phase correction method for interleaved EPI reconstruction", Proc. SPIE 3456, Mathematics of Data/Image Coding, Compression, and Encryption, (6 November 1998); https://doi.org/10.1117/12.330362
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KEYWORDS
Image restoration

Magnetic resonance imaging

Magnetism

Data acquisition

Computer programming

Chemical elements

Digital imaging

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