I am mathematically generating DWI images and their associated FODs using CSD. Deterministic tracking produces continuous streamlines whereas the probabilistic tracking (iFOD1 and iFOD2) produces discontinuous streamlines, there are breaks in the streamlines. I am unable to find the root cause as I have used the same DWI images for probabilistic tracking on Dipy and it is resulting in continuous streamlines. I have tried multiple options to obtain continuous streamlines that includes using -include and -exclude options as well but still I am unable to obtain continuous streamlines. For simulating the DWI images I have used constrained model given in “A Bayesian approach for stochastic white matter tractography” (http://ieeexplore.ieee.org/document/1661693/) and have tried different values of the parameters but the streamlines from iFOD1 and iFOD2 are always discontinuous. I am confused as probabilistic from Dipy is producing continous streamlines (ignoring the deterministic tractography as it always produces smooth coherent streamlines) but probabilistic tractography offered by Mrtrix is producing discontinuous streamlines though as a whole the streamline bundle produced is correct.
Can you guide me what am I doing wrong while using iFOD1 and iFOD2 for tracking?