Dominik Ludwig1,2, Frederik B. Laun3, Karel D. Klika4, Mark E. Ladd1,2,5, Peter Bachert1,2, and Tristan A. Kuder1
1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany, 3Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 4Molecular Structure Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany, 5Faculty of Medicine, Heidelberg University, Heidelberg, Germany
1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany, 3Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 4Molecular Structure Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany, 5Faculty of Medicine, Heidelberg University, Heidelberg, Germany
Adding a
filter diffusion weighting to a CMPG-like implementation of the long-narrow
approach enables diffusion pore imaging under more realistic conditions
including extraporal water and field gradients introduced by susceptibility
effects.
Figure 2: Comparison between the newly
proposed method and an acquisition without filter. While the newly proposed
method is in good agreement with the simulation, the measurement without the filter
strongly deviates at the lowest two q-values.
Figure 1: Schematic representation of the sequence used in this study. The
long gradient of the long-narrow approach was split into a CPMG-like gradient
train and an additional diffusion weighting, acting as a filter, was added.
