On the problem of gradient calibration in diffusion weighted imaging

Oleg Posnansky; Yuliya Kupriyanova; N. Jon Shah

doi:10.1002/ima.20292

On the problem of gradient calibration in diffusion weighted imaging

Oleg Posnansky
, Yuliya Kupriyanova
, N. Jon Shah^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Research › peer-review

10 Citations (Scopus)

Abstract

A calibration method for diffusion-weighted imaging using an isotropic phantom is proposed. The key point of the method consists in finding optimized balancing times for different orientations of diffusion-encoding gradients followed by retrospective rescaling of the diffusion-weighted images. The correction protocol was applied to produce improved fractional anisotropy maps which were analyzed with statistical histograms. The results demonstrate that the described scheme of systematic error reduction is a valid approach for quality control studies of gradient system performance for diffusion-weighted imaging.

Original language	English
Pages (from-to)	271-279
Number of pages	9
Journal	International Journal of Imaging Systems and Technology
Volume	21
Issue number	3
DOIs	https://doi.org/10.1002/ima.20292
Publication status	Published - Sept 2011
Externally published	Yes

Keywords

anisotropy
apparent diffusion coefficient
diffusion-encoding gradient calibration
multidirectional diffusion-weighted magnetic resonance imaging

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10.1002/ima.20292

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abstract = "A calibration method for diffusion-weighted imaging using an isotropic phantom is proposed. The key point of the method consists in finding optimized balancing times for different orientations of diffusion-encoding gradients followed by retrospective rescaling of the diffusion-weighted images. The correction protocol was applied to produce improved fractional anisotropy maps which were analyzed with statistical histograms. The results demonstrate that the described scheme of systematic error reduction is a valid approach for quality control studies of gradient system performance for diffusion-weighted imaging.",

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AU - Shah, N. Jon

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N2 - A calibration method for diffusion-weighted imaging using an isotropic phantom is proposed. The key point of the method consists in finding optimized balancing times for different orientations of diffusion-encoding gradients followed by retrospective rescaling of the diffusion-weighted images. The correction protocol was applied to produce improved fractional anisotropy maps which were analyzed with statistical histograms. The results demonstrate that the described scheme of systematic error reduction is a valid approach for quality control studies of gradient system performance for diffusion-weighted imaging.

AB - A calibration method for diffusion-weighted imaging using an isotropic phantom is proposed. The key point of the method consists in finding optimized balancing times for different orientations of diffusion-encoding gradients followed by retrospective rescaling of the diffusion-weighted images. The correction protocol was applied to produce improved fractional anisotropy maps which were analyzed with statistical histograms. The results demonstrate that the described scheme of systematic error reduction is a valid approach for quality control studies of gradient system performance for diffusion-weighted imaging.

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KW - apparent diffusion coefficient

KW - diffusion-encoding gradient calibration

KW - multidirectional diffusion-weighted magnetic resonance imaging

UR - https://www.scopus.com/pages/publications/80052091324

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DO - 10.1002/ima.20292

M3 - Article

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JO - International Journal of Imaging Systems and Technology

JF - International Journal of Imaging Systems and Technology

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On the problem of gradient calibration in diffusion weighted imaging

Abstract

Keywords

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