Literature DB >> 15607093

Geometric distortion in clinical MRI systems Part II: correction using a 3D phantom.

Deming Wang1, Wendy Strugnell, Gary Cowin, David M Doddrell, Richard Slaughter.   

Abstract

In this paper, we present the correction of the geometric distortion measured in the clinical magnetic resonance imaging (MRI) systems reported in the preceding paper (Part I) using a 3D method based on the phantom-mapped geometric distortion data. This method allows the correction to be made on phantom images acquired without or with the vendor correction applied. With the vendor's 2D correction applied, the method corrects for both the "residual" geometric distortion still present in the plane in which the correction method was applied (the axial plane) and the uncorrected geometric distortion along the axis normal to the plane. The evaluation of the effectiveness of the correction using this new method was carried out through analyzing the residual geometric distortion in the corrected phantom images. The results show that the new method can restore the distorted images in 3D nearly to perfection. For all the MRI systems investigated, the mean absolute deviations in the positions of the control points (along x-, y- and z-axes) measured on the corrected phantom images were all less than 0.2 mm. The maximum absolute deviations were all below approximately 0.8 mm. As expected, the correction of the phantom images acquired with the vendor's correction applied in the axial plane performed equally well. Both the geometric distortion still present in the axial plane after applying the vendor's correction and the uncorrected distortion along the z-axis have all been "restored."

Mesh:

Year:  2004        PMID: 15607093     DOI: 10.1016/j.mri.2004.08.014

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


  16 in total

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9.  Radiotherapy planning using MRI.

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Journal:  Phys Med Biol       Date:  2015-10-28       Impact factor: 3.609

10.  A method for improving the performance of gradient systems for diffusion-weighted MRI.

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Journal:  Magn Reson Med       Date:  2007-10       Impact factor: 4.668

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