Literature DB >> 15607092

Geometric distortion in clinical MRI systems Part I: evaluation using a 3D phantom.

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

Abstract

Recently, a 3D phantom that can provide a comprehensive and accurate measurement of the geometric distortion in MRI has been developed. Using this phantom, a full assessment of the geometric distortion in a number of clinical MRI systems (GE and Siemens) has been carried out and detailed results are presented in this paper. As expected, the main source of geometric distortion in modern superconducting MRI systems arises from the gradient field nonlinearity. Significantly large distortions with maximum absolute geometric errors ranged between 10 and 25 mm within a volume of 240 x 240 x 240 mm(3) were observed when imaging with the new generation of gradient systems that employs shorter coils. By comparison, the geometric distortion was much less in the older-generation gradient systems. With the vendor's correction method, the geometric distortion measured was significantly reduced but only within the plane in which these 2D correction methods were applied. Distortion along the axis normal to the plane was, as expected, virtually unchanged. Two-dimensional correction methods are a convenient approach and in principle they are the only methods that can be applied to correct geometric distortion in a single slice or in multiple noncontiguous slices. However, these methods only provide an incomplete solution to the problem and their value can be significantly reduced if the distortion along the normal of the correction plane is not small.

Mesh:

Year:  2004        PMID: 15607092     DOI: 10.1016/j.mri.2004.08.012

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


  45 in total

Review 1.  Magnetic resonance imaging methodology.

Authors:  Ewald Moser; Andreas Stadlbauer; Christian Windischberger; Harald H Quick; Mark E Ladd
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-03       Impact factor: 9.236

2.  Gradient nonlinearity effects on upper cervical spinal cord area measurement from 3D T1 -weighted brain MRI acquisitions.

Authors:  Nico Papinutto; Rohit Bakshi; Antje Bischof; Peter A Calabresi; Eduardo Caverzasi; R Todd Constable; Esha Datta; Gina Kirkish; Govind Nair; Jiwon Oh; Daniel Pelletier; Dzung L Pham; Daniel S Reich; William Rooney; Snehashis Roy; Daniel Schwartz; Russell T Shinohara; Nancy L Sicotte; William A Stern; Ian Tagge; Shahamat Tauhid; Subhash Tummala; Roland G Henry
Journal:  Magn Reson Med       Date:  2017-06-15       Impact factor: 4.668

3.  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

4.  Geometric distortion in magnetic resonance imaging systems assessed using an open-source plugin for scientific image analysis.

Authors:  Takahiro Aoyama; Hidetoshi Shimizu; Ikuo Shimizu; Atsushi Teramoto; Naoki Kaneda; Kazuhiko Nakamura; Masaru Nakamura; Takeshi Kodaira
Journal:  Radiol Phys Technol       Date:  2018-09-25

5.  Characterization of spatial distortion in a 0.35 T MRI-guided radiotherapy system.

Authors:  John S Ginn; Nzhde Agazaryan; Minsong Cao; Umar Baharom; Daniel A Low; Yingli Yang; Yu Gao; Peng Hu; Percy Lee; James M Lamb
Journal:  Phys Med Biol       Date:  2017-04-20       Impact factor: 3.609

6.  Treatment planning using MRI data: an analysis of the dose calculation accuracy for different treatment regions.

Authors:  Joakim H Jonsson; Magnus G Karlsson; Mikael Karlsson; Tufve Nyholm
Journal:  Radiat Oncol       Date:  2010-06-30       Impact factor: 3.481

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Journal:  J Neurosurg       Date:  2010-09       Impact factor: 5.115

8.  The Osteoarthritis Initiative (OAI) magnetic resonance imaging quality assurance update.

Authors:  E Schneider; M Nessaiver
Journal:  Osteoarthritis Cartilage       Date:  2012-10-23       Impact factor: 6.576

9.  Measurement of MRI scanner performance with the ADNI phantom.

Authors:  Jeffrey L Gunter; Matt A Bernstein; Brett J Borowski; Chadwick P Ward; Paula J Britson; Joel P Felmlee; Norbert Schuff; Michael Weiner; Clifford R Jack
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

10.  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

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