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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 Ekinci5,6, and Ruth P Lim1,7
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


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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