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Abstract #1838

Subvoxel Processing-Based Interpolation Improves Apparent Q-Space Imaging Displacement Resolution

Henry H. Ong1, Felix W. Wehrli1

1Laboratory for Structural NMR Imaging, Departement of Radiology, University of Pennsylvania School of Medicine, Philadelphia, PA, United States

Q-space imaging (QSI) offers potential for indirect assessment of axonal architecture (i.e. mean axon diameter) in white matter through examination of the displacement probability density function (d-PDF). A major limitation is that the maximum gradient amplitude available commercially is in-sufficient for the displacement resolution required to accurately study axons. In this work, we developed a subvoxel processing-based interpolation algorithm to increase the apparent displacement resolution and validated it with experimental data from d-PDFs of healthy mouse spinal cords. The results show that this method may be used to interpolate d-PDFs up to a factor of four without loss in accuracy.