Motion-Induced Phase Error Estimation and Correction in 3D Diffusion Tensor Imaging

Van, Anh T.; Hernando, Diego; Sutton, Bradley P.

doi:10.1109/tmi.2011.2158654

Cited by 30 publications

(51 citation statements)

References 29 publications

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“…The resulting images had 1.6 × 1.6 × 1.6 mm 3 spatial resolution. Iterative image reconstruction included parallel imaging with SENSE [Pruessmann et al, 2001] and correction for field inhomogeneity [Sutton et al, 2003] and motion-induced phase errors [Van et al, 2011], as described previously [Johnson et al, 2014]. …”

Section: Methodsmentioning

confidence: 99%

Viscoelasticity of subcortical gray matter structures

Johnson

Schwarb

McGarry

et al. 2016

Human Brain Mapping

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Viscoelastic mechanical properties of the brain assessed with magnetic resonance elastography (MRE) are sensitive measures of microstructural tissue health in neurodegenerative conditions. Recent efforts have targeted measurements localized to specific neuroanatomical regions differentially affected in disease. In this work, we present a method for measuring the viscoelasticity in subcortical gray matter (SGM) structures, including the amygdala, hippocampus, caudate, putamen, pallidum, and thalamus. The method is based on incorporating high spatial resolution MRE imaging (1.6 mm isotropic voxels) with a mechanical inversion scheme designed to improve local measures in pre-defined regions (soft prior regularization; SPR). We find that in twenty-one healthy, young volunteers SGM structures differ from each other in viscoelasticity, quantified as the shear stiffness and damping ratio, but also differ from the global viscoelasticity of the cerebrum. Through repeated examinations on a single volunteer, we estimate the uncertainty to be between 3–7% for each SGM measure. Further, we demonstrate that the use of specific methodological considerations – higher spatial resolution and SPR – both decrease uncertainty and increase sensitivity of the SGM measures. The proposed method allows for reliable MRE measures of SGM viscoelasticity for future studies of neurodegenerative conditions.

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Section: Methodsmentioning

confidence: 99%

Viscoelasticity of subcortical gray matter structures

Johnson

Schwarb

McGarry

et al. 2016

Human Brain Mapping

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“…A wide variety of techniques have been developed to handle these errors. [16][17][18][19][20][21][22][23][24] In addition to subject motion during DWI, these phase errors can be caused by cardiac pulsation or other physiological motions, which may result in nonlinear MPE. The sequence in this work uses a spiral-in readout to acquire a low resolution 2-D navigator image which allows it to be used with most navigator-based motion-correction methods.…”

Section: Navigation For Multishot Diffusionmentioning

confidence: 99%

High spatial resolution diffusion weighted imaging on clinical 3 T MRI scanners using multislab spiral acquisitions

Holtrop

Sutton

2016

J. Med. Imag

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, "High spatial resolution diffusion weighted imaging on clinical 3 T MRI scanners using multislab spiral acquisitions," J. Med. Imag. 3(2), 023501 (2016) Abstract. A diffusion weighted imaging (DWI) approach that is signal-to-noise ratio (SNR) efficient and can be applied to achieve sub-mm resolutions on clinical 3 T systems was developed. The sequence combined a multislab, multishot pulsed gradient spin echo diffusion scheme with spiral readouts for imaging data and navigators. Long data readouts were used to keep the number of shots, and hence total imaging time, for the three-dimensional acquisition short. Image quality was maintained by incorporating a field-inhomogeneity-corrected image reconstruction to remove distortions associated with long data readouts. Additionally, multiple shots were required for the high-resolution images, necessitating motion induced phase correction through the use of efficiently integrated navigator data. The proposed approach is compared with two-dimensional (2-D) acquisitions that use either a spiral or a typical echo-planar imaging (EPI) acquisition to demonstrate the improved SNR efficiency. The proposed technique provided 71% higher SNR efficiency than the standard 2-D EPI approach. The adaptability of the technique to achieve high spatial resolutions is demonstrated by acquiring diffusion tensor imaging data sets with isotropic resolutions of 1.25 and 0.8 mm. The proposed approach allows for SNR-efficient sub-mm acquisitions of DWI data on clinical 3 T systems.

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“…Analysis of phase error effects in multishot diffusion-prepared turbo spin echo imaging during the diffusion encoding, multi-shot DW techniques require an accompanied phase correction method (7)(8)(9)(10)(11)(12).…”

Section: Original Articlementioning

confidence: 99%

“…When a multi-shot acquisition is needed, such as in the case of high-resolution three-dimensional (3D) diffusion imaging, if the phase error is constant across shots (e.g., eddy-current-induced phase errors) the phase-error dependence can also be ignored. However, with multi-shot imaging in the presence of a time-varying phase error (e.g., MiPe) the signal phase modulation has to be accounted for before the shots are combined (8,9,11,12).…”

Section: Magnitude Stabilizersmentioning

confidence: 99%

Analysis of phase error effects in multishot diffusion-prepared turbo spin echo imaging

Van

Cervantes

Kooijman

et al. 2017

Quant. Imaging Med. Surg.

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Background: To characterize the effect of phase errors on the magnitude and the phase of the diffusionweighted (DW) signal acquired with diffusion-prepared turbo spin echo (dprep-TSE) sequences.Methods: Motion and eddy currents were identified as the main sources of phase errors. An analytical expression for the effect of phase errors on the acquired signal was derived and verified using Bloch simulations, phantom, and in vivo experiments.Results: Simulations and experiments showed that phase errors during the diffusion preparation cause both magnitude and phase modulation on the acquired data. When motion-induced phase error (MiPe) is accounted for (e.g., with motion-compensated diffusion encoding), the signal magnitude modulation due to the leftover eddy-current-induced phase error cannot be eliminated by the conventional phase cycling and sum-of-squares (SOS) method. By employing magnitude stabilizers, the phase-error-induced magnitude modulation, regardless of its cause, was removed but the phase modulation remained. The in vivo comparison between pulsed gradient and flow-compensated diffusion preparations showed that MiPe needed to be addressed in multi-shot dprep-TSE acquisitions employing magnitude stabilizers.Conclusions: A comprehensive analysis of phase errors in dprep-TSE sequences showed that magnitude stabilizers are mandatory in removing the phase error induced magnitude modulation. Additionally, when multi-shot dprep-TSE is employed the inconsistent signal phase modulation across shots has to be resolved before shot-combination is performed.

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Motion-Induced Phase Error Estimation and Correction in 3D Diffusion Tensor Imaging

Cited by 30 publications

References 29 publications

Viscoelasticity of subcortical gray matter structures

Viscoelasticity of subcortical gray matter structures

High spatial resolution diffusion weighted imaging on clinical 3 T MRI scanners using multislab spiral acquisitions

Analysis of phase error effects in multishot diffusion-prepared turbo spin echo imaging

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