Dear experts, I am very interested in the slice-to-volume registration method for diffusion preprocessing pipeline as it was presented in the ISMRM abstract on Developing Human connectome project http://cds.ismrm.org/protected/17MPresentations/abstracts/1269.html
We have dataset with specific slice-wise distortions which cannot be corrected by volume-wise registration techniques. Our distortions manifest itself as artifact which is described as "venetian blind artifact" in DTIprep paper (shown in fig. 5d of https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3864968/ ). In the paper the artifact is described as originating by motion, but I am in doubt the motion is a basis of the artifact in our case since it systematically affects only some specific diffusion directions and the slices are not interleavely shifted to each other but squeezed/stretched in AP direction. Also, it affects only our 64-direction DWI, it is not seen in 30-direction DWI. Do you have any suggestion what the origin of the artifact might be and how to correct it? I believe that dHCP pipeline with slice-to-volume registration framework could be a way to go. What do you think? Do you have this pipeline already publicly available? If not, when is the expected timeline of its release? Regards, Antonin Skoch _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
