dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
I've been doing more tractography lately and was getting really bad tract segmentation on a particular group of scans acquired on a Siemens Prisma. After talking to Yogeth Rathi's group and @mattcieslak , both noted that it could be an alignment issue.
Matt has also noticed something similar in the HBN dataset and has implemented a correction in qsiprep. I implemented a fix on our lab's data using a pipeline from Penn BBL.
However, going forward, I'm unsure how dmriprep handles rotating the bvecs. Is there a place already in the code that I should be modifying?
@arokem @dPys @oesteban
I've been doing more tractography lately and was getting really bad tract segmentation on a particular group of scans acquired on a Siemens Prisma. After talking to Yogeth Rathi's group and @mattcieslak , both noted that it could be an alignment issue.
Matt has also noticed something similar in the HBN dataset and has implemented a correction in qsiprep. I implemented a fix on our lab's data using a pipeline from Penn BBL.
However, going forward, I'm unsure how
dmriprep
handles rotating the bvecs. Is there a place already in the code that I should be modifying? @arokem @dPys @oestebanThis might also fix the error in #113