QIN DAWG Validation of Gradient Nonlinearity Bias Correction Workflow for Quantitative Diffusion-Weighted Imaging in Multicenter Trials

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Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging Network.Special Section Guest Editorial: Quantitative Imaging and the Pioneering Efforts of Laurence P. Clarke.

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QIN DAWG Validation of Gradient Nonlinearity Bias Correction Workflow for Quantitative Diffusion-Weighted Imaging in Multicenter Trials

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scientific article published on December 2016

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QIN DAWG Validation of Gradien ...... Imaging in Multicenter Trials

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QIN DAWG Validation of Gradien ...... Imaging in Multicenter Trials.

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QIN DAWG Validation of Gradien ...... Imaging in Multicenter Trials

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QIN DAWG Validation of Gradien ...... Imaging in Multicenter Trials.

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QIN DAWG Validation of Gradien ...... Imaging in Multicenter Trials

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QIN DAWG Validation of Gradien ...... Imaging in Multicenter Trials.

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QIN DAWG Validation of Gradien ...... Imaging in Multicenter Trials

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Bachir Taouli

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Dariya I Malyarenko

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David Newitt

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Karl G Helmer

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Lisa J Wilmes

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Lori R Arlinghaus

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Michael A Jacobs

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Thomas E Yankeelov

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Wei Huang

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Multi-system repeatability and reproducibility of apparent diffusion coefficient measurement using an ice-water phantom.

Pediatric brain tumor consortium multisite assessment of apparent diffusion coefficient z-axis variation assessed with an ice-water phantom.

Practical estimate of gradient nonlinearity for implementation of apparent diffusion coefficient bias correction.

Demonstration of nonlinearity bias in the measurement of the apparent diffusion coefficient in multicenter trials.

Correlation of diffusion-weighted MR imaging with cellularity of renal tumours.

Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data.

Diffusion-weighted MRI in the body: applications and challenges in oncology.

Applications of the repeatability of quantitative imaging biomarkers: a review of statistical analysis of repeat data sets

Promise and pitfalls of quantitative imaging in oncology clinical trials.

Correction of Gradient Nonlinearity Bias in Quantitative Diffusion Parameters of Renal Tissue with Intra Voxel Incoherent Motion

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396-405

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scholarly article

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10.18383/J.TOM.2016.00214

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Thomas L Chenevert

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2016-12-01T00:00:00Z

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28105469

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workflow

multicenter trial

bias

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5241082

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QIN DAWG Validation of Gradient Nonlinearity Bias Correction Workflow for Quantitative Diffusion-Weighted Imaging in Multicenter Trials

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QIN DAWG Validation of Gradient Nonlinearity Bias Correction Workflow for Quantitative Diffusion-Weighted Imaging in Multicenter Trials

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P1433

P1476

P2093

P2860

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P1476

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