Literature DB >> 15377086

A proposed scheme for comprehensive characterization of the measured geometric distortion in magnetic resonance imaging using a three-dimensional phantom.

Deming Wang1, David M Doddrell.   

Abstract

Recently, a 3-dimensional phantom that can provide a comprehensive, accurate and complete measurement of the geometric distortion in MRI has been developed. In this paper, a scheme for characterizing the measured geometric distortion using the 3-D phantom is described. In the proposed scheme, a number of quantitative measures are developed and used to characterize the geometric distortion. These measures encompass the overall and spatial aspects of the geometric distortion. Two specific types of volume of interest, rectangular parallelepipeds (including cubes) and spheres are considered in the proposed scheme. As an illustration, characterization of the geometric distortion in a Siemens 1.5T Sonata MRI system using the proposed scheme is presented. As shown, the proposed scheme provides a comprehensive assessment of the geometric distortion. The scheme can be potentially used as a standard procedure for the assessment of geometric distortion in MRI.

Mesh:

Year:  2004        PMID: 15377086     DOI: 10.1118/1.1767051

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  4 in total

1.  Fast concomitant gradient field and field inhomogeneity correction for spiral cardiac imaging.

Authors:  Joseph Y Cheng; Juan M Santos; John M Pauly
Journal:  Magn Reson Med       Date:  2011-03-07       Impact factor: 4.668

2.  Phantom-based characterization of distortion on a magnetic resonance imaging simulator for radiation oncology.

Authors:  Ke Colin Huang; Yue Cao; Umar Baharom; James M Balter
Journal:  Phys Med Biol       Date:  2016-01-06       Impact factor: 3.609

3.  A modular phantom and software to characterize 3D geometric distortion in MRI.

Authors:  Jordan M Slagowski; Yao Ding; Manik Aima; Zhifei Wen; Clifton D Fuller; Caroline Chung; J Matthew Debnam; Ken-Pin Hwang; Mo Kadbi; Janio Szklaruk; Jihong Wang
Journal:  Phys Med Biol       Date:  2020-09-28       Impact factor: 3.609

4.  Optimization of a novel large field of view distortion phantom for MR-only treatment planning.

Authors:  Ryan G Price; Robert A Knight; Ken-Pin Hwang; Ersin Bayram; Siamak P Nejad-Davarani; Carri K Glide-Hurst
Journal:  J Appl Clin Med Phys       Date:  2017-05-12       Impact factor: 2.102

  4 in total

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