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Improving the sensitivity and specificity of diffusion MRI

US · IL NIH grant awarded #nih-1R01NS136743-01A1

Summary

This project aims to improve the reliability and specificity of Diffusion Magnetic Resonance Imaging (DMRI) for detecting fiber pathways and assessing tissue microstructure in the brain, by enhancing angular resolution and sensitivity to fiber-specific diffusion properties.

What they want

The project has three specific aims: 1) Develop and validate improved methods for sub-voxel fiber identification and tissue characterization, comparing new methods with current leading algorithms using confocal microscopy data from squirrel monkeys as ground truth. 2) Determine the reproducibility of fiber-specific diffusion properties through space and time, and their dependence on tissue microstructure, as measured by optical microscopy. 3) Quantify the intersubject variability of fiber-specific diffusion properties in both squirrel monkeys and human subjects, expanding brain atlases to include these new properties and testing hypotheses about their reproducibility and lower intersubject variability compared to current DMRI measures.
Deliverables
  • Improved methods for sub-voxel fiber identification and tissue characterization
  • Validation results comparing new methods with current algorithms using confocal microscopy data
  • Reproducibility data of fiber-specific diffusion properties (through space and time)
  • Data on the dependence of fiber-specific diffusion properties on tissue microstructure (via optical microscopy)
  • Expanded squirrel monkey brain atlas including new fiber-specific diffusion properties
  • Creation of a similar human brain atlas
Technical requirements
  • Diffusion Magnetic Resonance Imaging (DMRI)
  • Open-source software packages for DMRI analysis
  • Confocal microscopy
  • Optical microscopy
  • Sub-voxel fiber identification
  • Tissue characterization
  • Angular resolution improvement
  • Fiber-specific diffusion properties measurement

Market context

inferred from NAICS
R&D in Physical, Engineering, Life Sciences (except Nanotech & Biotech)
NAICS 541715
US market size
$95B
Typical award
$100K – $50M+
Typical buyers
DoDNSFNIHNASADOE
Commonly required
DCAA-compliant accountingITARCMMC L2
Improving the sensitivity and specificity …
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