In this study, a new algorithm for canceling a MRI artifact due to the translational motion in image plane is described. Unlike the conventional iterative phase retrieval algorithm, in which there is no guarantee for the convergence, a direct method for estimating the motion is presented. In previous approaches, the motions in the x(read out) direction and the y(phase encoding) direction were estimated simultaneously. However, the feature of x and y directional motions are different from each other. By analyzing their features, each x and y directional motion is canceled by the different algorithms in two steps. First, it is noticed that the x directional motion corresponds to a shift of the x directional spectrum of the MRI signal, and the non-zero area of the spectrum just corresponds to the projected area of the density function on the x axis. So the motion is estimated by tracing the edges between non-zero area and zero area of the spectrum, and the x directional motion is canceled by shifting the spectrum in an reverse direction. Next, the y directional motion canceled by using a new constraint condition, with which the motion component and the true image component can be separated. This algorithm is shown to be effective by using a phantom image with simulated motion.
E. Kim et al., "Cancellation of MRI Motion Artifact in Image Plane," Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (2002, Anchorage, AK), vol. 1, pp. 329-334, Institute of Electrical and Electronics Engineers (IEEE), May 2002.
The definitive version is available at http://dx.doi.org/10.1109/IMTC.2002.1006862
19th IEEE Instrumentation and Measurement Technology Conference: IMTC (2002: May 21-23, Anchorage, AK)
Electrical and Computer Engineering
Keywords and Phrases
Fourier Spectrum; Fourier Transforms; MRI Motion Artifact Cancellation; Artifact Correction; Biomedical MRI; Constraint Condition; Direct Method; Directional Motion; Image Plane; Image Reconstruction; Iterative Phase Retrieval Algorithm; Medical Image Processing; Motion Compensation; Motion Estimation; Phantom Image; Postprocessing Algorithm; Reconstructed Image; Translational Motion; Fourier or Phase Spectrum; Motion Artifact; MRI; Reconstructed; Shifting
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Article - Conference proceedings
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