Rdiger Stirnberg1, Tony Stcker1, N. Jon Shah1, 2
1Institute of Neuroscience and Medicine - 4, Forschungszentrum Jlich, Jlich, Germany; 2Department of Neurology, Faculty of Medicine, JARA, RWTH Aachen University, Aachen, Germany
Several publications have addressed the analysis of anisotropic error propagation in DTI, i.e. as a function of fibre orientation. Recently, model-free diffusion imaging methods requiring high angular resolved diffusion imaging acquisitions have gained in popularity, e.g. q-ball imaging (QBI). In this abstract, QBI error anisotropy without and with noise (Monte Carlo simulation) is compared for different encoding scheme types with 30 to 240 directions and constant number of excitations. It is shown that QBI error anisotropy converges to a minimum with increasing numbers of diffusion weighting directions provided an encoding scheme type offering a high degree of uniformity is used.