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.. _jlf: | ||
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``jlf`` | ||
=========== | ||
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``jlf`` is a module that uses the ANTs Joint Label Fusion algorithm to produce a | ||
high-resolution anatomical segmentation of the subject’s anatomical data. Generates a | ||
subject-specific atlas of anatomical landmarks that can be used for regional quantification or | ||
network mapping. Presently, the module uses atlases of 103-OASIS labels. | ||
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``jlf`` options | ||
^^^^^^^^^^^^^^^^^ | ||
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If to use OASIS atlas labels with skullstrip or not:: | ||
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- jlf_extract[cxt]=1 # with skulltrip | ||
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If to keep each warped atlas, that is not advisable, it occupy space:: | ||
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- jlf_keep_warps[cxt]=0 # dont keep | ||
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Fast joint label fusion is no recommended bcos of poor accuracy:: | ||
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- jlf_quick[cxt]=1 # for fast jlf but no recommended | ||
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The cohort of OASIS label can be selected based on their ages:: | ||
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- jlf_cohort[cxt]=All # Everyone | ||
- jlf_cohort[cxt]=YoungAdult22 # Age range of 18-34 | ||
- jlf_cohort[cxt]=Older18 # Age range of 23-90 | ||
- jlf_cohort[cxt]=SexBalanced20 #All male subjects (ages 20-68) plus 10 of the female subjects. | ||
- jlf_cohort[cxt]=Subset24 # A subset for general use, slightly more balanced on sex | ||
- jlf_cohort[cxt]=Younger24 #Maintains the same 2:1 female:male ratio of the original, but biased towards younger subjects | ||
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Tthe number of cpu cores, the default is 2:: | ||
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- jlf_ncpu[cxt]=2 | ||
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Configuring parallelisation,very fast:: | ||
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- jlf_parallel[3]=1 | ||
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Outputs | ||
^^^^^^^^ | ||
The expected outputs are:: | ||
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- prefix_Intensity.nii.gz # atlas intensity | ||
- prefix_Labels.nii.gz # atlas labels | ||
- prefix_TargetMaskImageOr.nii.gz # target mask that cover all atlas | ||
- prefix_LabelsGMIntersect.nii.gz # refined atlas with grey matter mask | ||
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