Literature DB >> 11595366

Optimization of view ordering for motion artifact suppression.

T D Nguyen1, G Ding, R Watts, Y Wang.   

Abstract

Motion artifacts in MRI may be reduced by optimized view ordering. Extensive simulations of view-ordering techniques were performed on high-resolution phantom images to determine the best strategy for distributing motion in k-space. Although not exhaustive, simulation results indicate that minimizing motion at the center of k-space is critical to overall image quality. For 2D imaging, using edge-center-edge view order and setting the readout direction parallel to the direction of the motion produces the sharpest point spread function and the lowest image energy error. For 3D imaging, using an edge-center-edge view order proves to be the optimum choice in general. Given these observations, several important issues regarding the measurement of motion effects are discussed.

Mesh:

Year:  2001        PMID: 11595366     DOI: 10.1016/s0730-725x(01)00426-x

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  4 in total

1.  Sparse and optimal acquisition design for diffusion MRI and beyond.

Authors:  Cheng Guan Koay; Evren Ozarslan; Kevin M Johnson; M Elizabeth Meyerand
Journal:  Med Phys       Date:  2012-05       Impact factor: 4.071

2.  A Platform Integrating Acquisition, Reconstruction, Visualization, and Manipulator Control Modules for MRI-Guided Interventions.

Authors:  Jose D Velazco Garcia; Nikhil V Navkar; Dawei Gui; Cristina M Morales; Eftychios G Christoforou; Alpay Ozcan; Julien Abinahed; Abdulla Al-Ansari; Andrew Webb; Ioannis Seimenis; Nikolaos V Tsekos
Journal:  J Digit Imaging       Date:  2019-06       Impact factor: 4.056

3.  Regularly incremented phase encoding - MR fingerprinting (RIPE-MRF) for enhanced motion artifact suppression in preclinical cartesian MR fingerprinting.

Authors:  Christian E Anderson; Charlie Y Wang; Yuning Gu; Rebecca Darrah; Mark A Griswold; Xin Yu; Chris A Flask
Journal:  Magn Reson Med       Date:  2017-08-10       Impact factor: 4.668

Review 4.  Review: magnetic resonance imaging techniques in ophthalmology.

Authors:  Laura Fanea; Andrew J Fagan
Journal:  Mol Vis       Date:  2012-10-12       Impact factor: 2.367

  4 in total

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