Abstract #2482

Performance of small field of view rotated 2D selective RF excitation Diffusion Tensor (DTI) Imaging of kidneys with automatic motion correction

Dee Zhen Lim¹, Julia Williams¹, Jason Wong¹, Lucy McKenna¹, Julie Smith¹, Emma Hornsey¹, Dominic Italiano², Leonid Churilov², Daniel Staeb³, Thomas Benkert⁴, Elif Ekinci^5,6, and Ruth P Lim^1,7

¹Department of Radiology, Austin Health, Heidelberg, Australia, ²Melbourne Medical School, University of Melbourne, Melbourne, Australia, ³MR Research Collaborations, Siemens Healthcare Pty Ltd, Melbourne, Australia, ⁴MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, ⁵Department of Endocrinology, Austin Health, Heidelberg, Australia, ⁶Department of Medicine, University of Melbourne, Melbourne, Australia, ⁷Departments of Radiology and Surgery, University of Melbourne, Melbourne, Australia

Synopsis

Renal diffusion tensor imaging (DTI) is a promising, non-invasive biomarker for kidney function. Cortical and medullary fractional anisotropy (FA) and mean diffusivity (MD) correlates with early microstructural and functional changes in kidney diseases. However, reliability of DTI metrics is affected by artifacts. The ideal renal DTI sequence for robust and reproducible measurements remains under investigation. We report on a prototype for small field-of-view (FOV) DTI incorporating 2D selective and rotated RF excitation and automatic motion correction to minimize artifacts in 9 diabetic patients and 9 controls, demonstrating high inter-reader agreement for measured FA and MD and high image quality.

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