Hi Peggy - If you upload the tracula output directories for me here, I'll take a look:
https://gate.nmr.mgh.harvard.edu/filedrop2/
Thanks! a.y On Fri, 19 Jun 2015, Peggy Skelly wrote:
It's been a while, but we are still working on computing our tracts in tracula! We are still struggling with variability of the output from 'trac-all -path'. Running with the default number of iterations, there was enough variability in the output from multiple runs, that I ran longer iterations to see if the output would converge to more consistent values. Here is the fa_avg_weight of the rh.cst for a single set of dwi images processed through tracula, then trac-all -path run several times (with reinit=0 and default values for nburnin & nkeep): nsample=7500: 0.516818, 0.529206, 0.495232, 0.514368, 0.492393, 0.51711 nsample=20,000: 0.521082, 0.513492, 0.50974 nsample=50,000: 0.506167, 0.502324, 0.504106 nsample=100,000: 0.530423 Between 7500 and 50k samples, it does seem like the algorithm is converging, but at 100k samples the output is out of the range of any previous runs. (I keep looking for errors in how I ran that one, and am running it again.) In the reference Yendiki, et.al, 2011, you state that the burn-in and iterations to ensure convergence is for future investigation. Have you had any more thoughts or progress on this topic? We are doing a longitudinal analysis, comparing FA_avg_weight over tracts pre- and post- a 3-month therapeutic intervention. So we anticipate rather small changes. Do you have any suggestions for how we handle this variability? Thanks, Peggy
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