Motion artifact reduction of diffusion‐weighted MRI of the liver: Use of velocity‐compensated diffusion gradients combined with tetrahedral gradients

Ozaki, Masanori; Inoue, Yusuke; Miyati, Tosiaki; Hata, Hirofumi; Mizukami, Sinya; Komi, Shotaro; Matsunaga, Keiji; Woodhams, Reiko

doi:10.1002/jmri.23796

Cited by 41 publications

(53 citation statements)

References 23 publications

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“…If motion artefacts are suppressed, higher intensities are revealed in the ROI and with higher signal-to-noise ratio (SNR), and we found that the alginate mould suppressed deformation, magnetic susceptibility artefacts and improved the SNR of images3233. Secondly, coil load is another factor that could affect the SNR of an image.…”

Section: Discussionmentioning

confidence: 84%

Applicable apparent diffusion coefficient of an orthotopic mouse model of gastric cancer by improved clinical MRI diffusion weighted imaging

Sun

Zhang

et al. 2014

Sci Rep

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In vivo imaging studies in animal models are hindered by variables that contribute to poor image quality and measurement reliability. As such we sought to improve the diffusion coefficient (ADC) of an orthotopic mouse model of gastric cancer in diffusion-weighted images (DWI) using alginate moulding and Ultrasonic coupling medium. BGC-823 human gastric cancer cells were subcutaneously injected into the abdomen of nude mice and 1 mm3 primary tumour was orthotopically transplanted. Alginate and coupling medium were applied to the mice and MRI (T2 and DWI) was performed for 6 weeks. Regions of interest (ROI) were drawn and liver and tumour ADC were evaluated. Using alginate moulding, the mean quality total score of DW imaging was 8.53; however, in control animals this value was 5.20 (p < 0.001). The coefficient of variation of ADC of liver in experimental and control groups were 0.071 and 0.270 (p < 0.001), respectively, suggesting this method may be helpful for DWI studies of important human diseases such as gastric cancer.

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Section: Discussionmentioning

confidence: 84%

Applicable apparent diffusion coefficient of an orthotopic mouse model of gastric cancer by improved clinical MRI diffusion weighted imaging

Sun

Zhang

et al. 2014

Sci Rep

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“…Flow‐compensation of the unweighted (b 0 ) image as performed in the work at hand might facilitate accurate determination of the perfusion fraction because the bipolar signal exhibits strong decay already at very small b‐values in case of a strong IVIM effect. Flow‐compensated diffusion gradients were, furthermore, found to improve image quality by reduction of motion artifacts in the liver and in cardiac imaging .…”

Section: Discussionmentioning

confidence: 99%

Flow‐compensated intravoxel incoherent motion diffusion imaging

Wetscherek

Stieltjes

Laun

2014

Magnetic Resonance in Med

156

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“…This can be overcome by performing DWI acquisitions at diastole using an ECG or pulse trigger 46 , but this approach results in significantly increased scan time. Another promising approach to mitigate signal loss due to cardiac motion is to use motion-compensated diffusion gradients 47,48 to cancel the dephasing of coherently moving tissues while maintaining diffusion-weighting.…”

Section: Dwi Techniquementioning

confidence: 99%

Diffusion-Weighted Imaging of the Liver

Lewis

Dyvorne

Cui

et al. 2014

Magnetic Resonance Imaging Clinics of North America

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SYNOPSIS Diffusion weighted MRI (DWI) is a technique that assesses the cellularity, tortuosity of the extracellular/extravascular space and cell membrane density based upon differences in water proton mobility in tissues. The strength of the diffusion weighting is reflected by the b-value. DWI using several b-values enables quantification of the apparent diffusion coefficient (ADC). DWI is increasingly employed in liver imaging for multiple reasons: it can add useful qualitative and quantitative information to conventional imaging sequences, it is acquired relatively quickly, it is easily incorporated into existing clinical protocols, and it is a non-contrast technique. DWI is useful for focal liver lesion detection and characterization, for the assessment of post-treatment tumor response and for evaluation of diffuse liver disease. ADC quantification can be used to characterize lesions as cystic/necrotic or solid and for predicting tumor response to therapy. Advanced diffusion methods such as IVIM (intravoxel incoherent motion) may have potential for detection, staging and evaluation of the progression of liver fibrosis and for liver lesion characterization. The lack of standardization of DWI technique including choice of b-values and sequence parameters has somewhat limited its widespread adoption.

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Motion artifact reduction of diffusion‐weighted MRI of the liver: Use of velocity‐compensated diffusion gradients combined with tetrahedral gradients

Abstract: The use of a t-VC-DWI sequence enables us to correct ADCs of the liver for artificial elevation due to cardiac motion, with preserved SNR.

Cited by 41 publications

References 23 publications

Applicable apparent diffusion coefficient of an orthotopic mouse model of gastric cancer by improved clinical MRI diffusion weighted imaging

Applicable apparent diffusion coefficient of an orthotopic mouse model of gastric cancer by improved clinical MRI diffusion weighted imaging

Flow‐compensated intravoxel incoherent motion diffusion imaging

Diffusion-Weighted Imaging of the Liver

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