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Thanks a lot Matteo! I really appreciate your response. Sara ________________________________ From: Matteo Bastiani [[log in to unmask]] Sent: Wednesday, July 31, 2019 3:59 AM To: FSL - FMRIB's Software Library Cc: [log in to unmask] Subject: Re: [FSL] QUAD. and inclusion criteria Hi Sara, I’d say that, when dealing with dMRI data, you would typically prefer to go for the dataset with the higher CNR (i.e., maximising your angular contrast). Especially if the difference in SNR (calculated on the b0 volumes only) is not significant, which is what I suspect. However, have a look at those specific subjects’/sessions’ single subject report and see whether you can spot any residual issue after pre-processing. If everything looks fine to me and there are no clear outliers in any of the quality metrics then, yes, I’d go for the session with the highest CNR. Cheers, Matteo On 30 Jul 2019, at 18:12, [log in to unmask]<mailto:[log in to unmask]> wrote: Hi Matteo, Based on your previous email, I used CNR as my criterion to choose the best dataset for each participants. For most of my participants, CNR and SNR are in line but for some of them, CNR is higher for one dataset while its SNR is lower than the other dataset. Is it still fair if I go with CNR to choose the best dataset or should I consider anything else. Thanks, Sara ________________________________ From: FSL - FMRIB's Software Library [[log in to unmask]<mailto:[log in to unmask]>] on behalf of Matteo Bastiani [[log in to unmask]<mailto:[log in to unmask]>] Sent: Monday, July 08, 2019 3:05 AM To: [log in to unmask]<mailto:[log in to unmask]> Subject: Re: [FSL] QUAD. and inclusion criteria Hi Sara, I would go with the dataset with the highest SNR/CNR. It can also help to have a look at the averaged b-shell maps shown in the single subject report, to see whether there are some unexpected signal modulations or residual distortions in one of the acquisitions. Hope this helps, cheers, Matteo On 6 Jul 2019, at 22:42, [log in to unmask]<mailto:[log in to unmask]> <[log in to unmask]<mailto:[log in to unmask]>> wrote: Hi FSL team, I am using QUAD to quality check my DTI data. In each session, we acquire 2 sets of DTI data (with the same acquisition parameter) for each participant in order to choose the best DTI data for further analysis. I am not sure what matrix from QUAD report is the best to choose between the two sets of data for each participant (CNR, SNR, or relative displacement, etc). Would you please guide me on that? Thanks, Sara ________________________________ To unsubscribe from the FSL list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=FSL&A=1 ________________________________ To unsubscribe from the FSL list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=FSL&A=1 ________________________________ To unsubscribe from the FSL list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=FSL&A=1 ######################################################################## To unsubscribe from the FSL list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=FSL&A=1