<p>The maps show the in-plane absolute Euclidean displacement required to recover the true shape of the phantom in axial (<i>x-y</i>) and coronal (<i>x-z</i>) MRI data from the between-scanner variability assessment. Phase encoding is in the horizontal direction (<i>x</i>) in both planes. It is evident that scanning using an identical (standard) sequence ensures better correspondence between images from scanners “B”-“F” in terms of distortion effects. Correspondence declined when stroke sequences “b”-“f” were used, particularly in the coronal plane. Furthermore, overall distortion was characterized by two differing patterns; images from system “A” were uniformly stretched in both directions, whereas minor non-linearities were present in ima...
Introduction: Image distortion is one of the major problems of magnetic resonance imagin...
MR images are known to be distorted because of both gradient nonlinearity and imperfections in the B...
Objective Phantoms are often used to estimate the geometric accuracy in magnetic resonance imaging (...
In this paper, we present the correction of the geometric distortion measured in the clinical magnet...
<p>Projection along the X axis from CT phantom data (white) overlaid on MRI images (filler inside ph...
A cost-effective regularly structured three-dimensional (3D) printed grid phantom was developed to e...
Distortion in magnetic resonance images needs to be taken into account for the purposes of radiother...
Recently, a 3D phantom that can provide a comprehensive and accurate measurement of the geometric di...
Reducing measurement variability in MRI-based morphometric analysis of human brain structures will i...
<p>(a) Map of the deformation field Dg<sub>2</sub> applied in both the x and y directions (Dg<sub>2x...
© 2017 Elsevier Inc. Ultra-high field magnetic resonance imaging (MRI) provides superior visualizati...
As magnetic resonance imaging (MRI) becomes increasingly integrated into radiotherapy (RT) for enhan...
A phantom that can be used for mapping geometric distortion in magnetic resonance imaging (MRI) is d...
Reconstruction algorithms require precise knowledge about the scan geometry of the computed tomograp...
Objective: Medical image registration can be formulated as a tissue deformation problem, where param...
Introduction: Image distortion is one of the major problems of magnetic resonance imagin...
MR images are known to be distorted because of both gradient nonlinearity and imperfections in the B...
Objective Phantoms are often used to estimate the geometric accuracy in magnetic resonance imaging (...
In this paper, we present the correction of the geometric distortion measured in the clinical magnet...
<p>Projection along the X axis from CT phantom data (white) overlaid on MRI images (filler inside ph...
A cost-effective regularly structured three-dimensional (3D) printed grid phantom was developed to e...
Distortion in magnetic resonance images needs to be taken into account for the purposes of radiother...
Recently, a 3D phantom that can provide a comprehensive and accurate measurement of the geometric di...
Reducing measurement variability in MRI-based morphometric analysis of human brain structures will i...
<p>(a) Map of the deformation field Dg<sub>2</sub> applied in both the x and y directions (Dg<sub>2x...
© 2017 Elsevier Inc. Ultra-high field magnetic resonance imaging (MRI) provides superior visualizati...
As magnetic resonance imaging (MRI) becomes increasingly integrated into radiotherapy (RT) for enhan...
A phantom that can be used for mapping geometric distortion in magnetic resonance imaging (MRI) is d...
Reconstruction algorithms require precise knowledge about the scan geometry of the computed tomograp...
Objective: Medical image registration can be formulated as a tissue deformation problem, where param...
Introduction: Image distortion is one of the major problems of magnetic resonance imagin...
MR images are known to be distorted because of both gradient nonlinearity and imperfections in the B...
Objective Phantoms are often used to estimate the geometric accuracy in magnetic resonance imaging (...