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Dataset Information

Empirical validation of gradient field models for an accurate ADC measured on clinical 3T MR systems in body oncologic applications.


ABSTRACT:

Purpose

To empirically corroborate vendor-provided gradient nonlinearity (GNL) characteristics and demonstrate efficient GNL bias correction for human brain apparent diffusion coefficient (ADC) across 3T MR systems and spatial locations.

Methods

Spatial distortion vector fields (DVF) were mapped in 3D using a surface fiducial array phantom for individual gradient channels on three 3T MR platforms from different vendors. Measured DVF were converted into empirical 3D GNL tensors and compared with their theoretical counterparts derived from vendor-provided spherical harmonic (SPH) coefficients. To illustrate spatial impact of GNL on ADC, diffusion weighted imaging using three orthogonal gradient directions was performed on a volunteer brain positioned at isocenter (as a referen

SUBMITTER: Pang Y 

PROVIDER: S-EPMC8268998 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature