deterministic fiber tracking algorithm

[Yuke Zhong]

  Hello, i'm doing tracking with the batch, and it shows:

A deterministic fiber tracking algorithm (Yeh et al., PLoS ONE 8(11): e80713, 2013) was used with augmented tracking strategies (Yeh, Neuroimage, 2020 Dec;223:117329) to improve reproducibility. The anisotropy threshold was randomly selected. The angular threshold was randomly selected from 15 degrees to 90 degrees. The step size was randomly selected from 0.5 voxel to 1.5 voxels. Tracks with length shorter than 20.6242 or longer than 158.854 mm were discarded. Topology-informed pruning (Yeh et al. Neurotherapeutics, 16(1), 52-58, 2019) was applied to the tractography with 48 iteration(s) to remove false connections. parameter_id=c9A99193Fb803Fd46FEA4418FDA1E43d01a01c3d0  Shape analysis (Yeh, Neuroimage, 2020 Dec;223:117329) was conducted to derive shape metrics for tractography.

and i wonder if these randomly selected paramaters are the same between all subjects, or is unique for every subject.

and if it's unique for every subject, how can i set a fixed value in the batch GUI,

[Fang-Cheng Yeh]

Should be consistent across subjects.

Frank

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[Yuke Zhong]

Vey thanks! And is there some method i can know the value of random selection (the exact value, in another word).

yours

Yuke Zhong

[Fang-Cheng Yeh]

Sorry for the late reply.

Vey thanks! And is there some method i can know the value of random selection (the exact value, in another word).

Unfortunatel, there is no way to know the random sequences.

Frank

 

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