title: Geometric distortion in clinical MRI systems Part I: evaluation using a 3D phantom.
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.
authors.affiliation: Centre for Magnetic Resonance, The University of Queensland, St. Lucia, QLD 4072, Australia. deming@cmr.uq.edu.au
authors.forename: Deming
authors.initials: D
authors.lastname: Wang
authors.forename: Wendy
authors.initials: W
authors.lastname: Strugnell
authors.forename: Gary
authors.initials: G
authors.lastname: Cowin
authors.forename: David M
authors.initials: DM
authors.lastname: Doddrell
authors.forename: Richard
authors.initials: R
authors.lastname: Slaughter
mesh_terms: D000465:Algorithms; D003132:Commerce; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D019047:Phantoms, Imaging