DTI Resolution Phantom

The DTI resolution phantom [1] consists of several fiber strands formed by polyester fibers wound onto a cylindrical spindle. Between the fibers, the diffusing aqueous solution is located. This way, the restricted anisotropic diffusion in white matter of the brain is mimicked.

Standard Version

Technical specifications

  • Cylindrical phantom container: Diameter: 150 mm, High: 150 mm
  • Fiber strands cross-sections: 5 x 5 mm2, 3 x 3 mm2, 2.5 x 2.5 mm2, 2 x 2 mm2, 1.5 x 1.5 mm2, 1 x 1 mm2
  • Outer Diameter of the spindle / fiber strands: 60 mm
  • Fractional Anisotropy: 0.8
  • Distance between the starting positions of the fiber strands on the spindle is a multiple of 2.5 mm. This allows an easy observation of the partial volume effects in all strands for a nominal image resolution of 2.5 mm.

Customer-specific modifications

  • FA (coming soon)
  • Size of the phantom container
  • Size of the spindle
  • Cross-sections of the fiber strands
  • Number of fiber strands and their distance

Application examples

check-1 Ground truth for validation of DTI sequences and post-processing pipelines
check-1 Effects of the changes in the orientation of the imaging matrix relative to the fiber strands [1]

check-1 Investigation of the influence of partial volume effects and fiber strand size on fiber tracking methods and the derived quantities (e.g. tract-based spatial statistics, TBSS [2])

User reference

„One main focus of my research in neuroradiology is on identifying subtle alterations of white matter structure in pathologies like early stage Alzheimer’s disease, which often puts current DWI technology at its limits concerning the obtainable resolution. Ground truth validations, which become possible with the resolution phantom, are the basis that ensures my trust in the quality of my studies.“

Dr. Klaus Maier-HeinGerman Cancer Research Center

References (scientific articles)

1.

Investigation of resolution effects using a specialized diffusion tensor phantom.

Bach M, Fritzsche KH, Stieltjes B, Laun FB.Magn Reson Med. 2014;71(3):1108-16
2.

Methodological considerations on tract-based spatial statistics (TBSS).

Bach M, Laun FB, Leemans A, Tax CM, Biessels GJ, Stieltjes B, Maier-Hein KH.NeuroImage. 2014;100:358-69