build an only-track pipeline with other algorithm after reconstruction

[weiwei-wch]

Hi qsiprep group, here I face a problem that I have already finished running FOD reconstruction and fiber tracking with the pre-configured recon_workflows 'mrtrix_singleshell_ss3t', now I wanna if I can run fiber tracking with FACT algorithm on the already finished FOD file, I am confused about how to set the workfolw json file since the 'reconstruction workflow' part of the online document seems to be not finished so I do not know how to set the prameters, I try to build one as follows and wanna if you can help me check if it can work.

Briefly, I delete ss3t_csd part from origional 'mrtrix_singleshell_ss3t', change algorithm into 'FACT' and configured the input and output name

And another confused part is that 'tckgen' command in Mrtrix3 or the 3Tissue version do not have 'max_length' and 'min_length' parameter but 'maxlength' and 'minlength', and how can I set 'step' and 'angle' prameter in this file?

now I put too many questions here, I appreciate it if anyone can help me :)

{ "name": "mrtrix_msmt", "space": "T1w", "atlases": ["schaefer100x7", "schaefer100x17", "schaefer200x7", "schaefer200x17", "schaefer400x7", "schaefer400x17", "brainnetome246", "aicha384", "gordon333", "aal116", "power264"], "anatomical": ["mrtrix_5tt"], "nodes": [ { "name": "track_fact", "software": "MRTrix3", "action": "tractography", "output_suffix": "fact", "input": "ss3t_csd", "parameters": { "use_5tt": true, "use_sift2": true, "tckgen":{ "algorithm": "FACT", "select": 1e7, "max_length": 250, "min_length": 30, "power":0.33, "crop_at_gmwmi": true, "backtrack": true }, "sift2":{} } }, { "name": "mrtrix_conn", "software": "MRTrix3", "action": "connectivity", "output_suffix": "dhollanderconnectome_fact", "input": "track_fact", "parameters":{ "tck2connectome": [ { "zero_diagonal": false, "search_radius": 2, "scale_invnodevol": true, "symmetric": true, "use_sift_weights": true, "stat_edge": "sum", "measure": "sift_invnodevol_radius2_count" }, { "zero_diagonal": false, "search_radius": 2, "scale_invnodevol": false, "symmetric": true, "length_scale": "length", "use_sift_weights": false, "stat_edge": "mean", "measure": "radius2_meanlength" }, { "zero_diagonal": false, "search_radius": 2, "scale_invnodevol": false, "symmetric": true, "use_sift_weights": false, "stat_edge": "sum", "measure": "radius2_count" }, { "zero_diagonal": false, "search_radius": 2, "scale_invnodevol": false, "symmetric": true, "use_sift_weights": true, "stat_edge": "sum", "measure": "sift_radius2_count" } ] } } ] }