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In vivo demonstration of microscopic anisotropy in the human kidney using multidimensional diffusion MRI
Fabio Nery1, Filip Szczepankiewicz2,3,4, Leevi Kerkelä1
1Developmental Imaging and Biophysics Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
Magnetic Resonance in Medicine
|June 28, 2019
Summary
This study demonstrates the feasibility of multidimensional diffusion MRI for quantifying microscopic fractional anisotropy (µFA) in human kidneys. The technique reveals novel microstructural information beyond conventional methods.
Area of Science:
- Medical Imaging
- Biophysics
- Renal Physiology
Background:
- Conventional diffusion MRI provides limited microstructural information in the kidney.
- Microscopic fractional anisotropy (µFA) offers a more detailed probe of tissue microstructure.
- Developing advanced MRI techniques is crucial for non-invasive renal assessment.
Purpose of the Study:
- To demonstrate the feasibility of multidimensional diffusion MRI for in vivo quantification of µFA in human kidneys.
- To compare µFA with conventional fractional anisotropy (FA) in renal tissues.
- To explore the potential of µFA for probing novel microstructural details.
Main Methods:
- Utilized linear tensor encoding (LTE) and spherical tensor encoding (STE) diffusion MRI in 10 healthy volunteers.
- Employed respiratory triggering and image registration to minimize motion artifacts.
- Performed semi-automated segmentation of renal cortex and medulla, followed by model-free analysis and µFA estimation.
Main Results:
- Observed the characteristic µFA effect (LTE vs. STE signal divergence) in all subjects.
- Found statistically significant differences between LTE and STE signals in cortex and medulla at specific b-values.
- Demonstrated higher µFA values (cortex: 0.53 ± 0.09, medulla: 0.65 ± 0.05) compared to conventional FA.
Conclusions:
- Successfully demonstrated the feasibility of multidimensional diffusion MRI for µFA quantification in human kidneys.
- Highlighted that µFA provides microstructural information inaccessible by conventional diffusion encoding.
- Identified technical limitations requiring further development for broader application in body MRI.
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