Correction of B 0-induced geometric distortion variations in prospective motion correction for 7T MRI.

Yarach, Uten; Schulze, Peter; Luengviriya, Chaiya; Speck, Oliver; Godenschweger, Frank; Stucht, Daniel

doi:10.1007/s10334-015-0515-2

Journal Article

DZNE-2020-04929

Correction of B 0-induced geometric distortion variations in prospective motion correction for 7T MRI.

Yarach, U. (Corresponding author) ; Luengviriya, C. ; Stucht, D. ; Godenschweger, F. ; Schulze, P.DZNE* ; Speck, O. (Last author)DZNE*

2016
Springer Heidelberg

Magnetic resonance materials in physics, biology and medicine 29(3), 319-332 (2016) [10.1007/s10334-015-0515-2]

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Please use a persistent id in citations: doi:10.1007/s10334-015-0515-2

Abstract: Prospective motion correction can effectively fix the imaging volume of interest. For large motion, this can lead to relative motion of coil sensitivities, distortions associated with imaging gradients and B 0 field variations. This work accounts for the B 0 field change due to subject movement, and proposes a method for correcting tissue magnetic susceptibility-related distortion in prospective motion correction.The B 0 field shifts at the different head orientations were characterized. A volunteer performed large motion with prospective motion correction enabled. The acquired data were divided into multiple groups according to the object positions. The correction of B 0-related distortion was applied to each group of data individually via augmented sensitivity encoding with additionally integrated gradient nonlinearity correction.The relative motion of the gradients, B 0 field and coil sensitivities in prospective motion correction results in residual spatial distortion, blurring, and coil artifacts. These errors can be mitigated by the proposed method. Moreover, iterative conjugate gradient optimization with regularization provided superior results with smaller RMSE in comparison to standard conjugate gradient.The combined correction of B 0-related distortion and gradient nonlinearity leads to a reduction of residual motion artifacts in prospective motion correction data.

Keyword(s): Algorithms (MeSH) ; Artifacts (MeSH) ; Brain: diagnostic imaging (MeSH) ; Brain: physiopathology (MeSH) ; Computer Simulation (MeSH) ; Humans (MeSH) ; Image Processing, Computer-Assisted: methods (MeSH) ; Magnetic Resonance Imaging (MeSH) ; Male (MeSH) ; Models, Theoretical (MeSH) ; Motion (MeSH) ; Phantoms, Imaging (MeSH)