@@ -86,10 +86,10 @@ The first thing to do is resample ``centerlines.trk`` so that each
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centerline is formed of segments no longer than 0.2 mm.
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Note: This is because the next script will rely on a KDTree to find
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- all neighboring fibertube segments of any given point. Because the
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- search radius is set at the length of the longest fibertube segment,
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- the performance drops significantly if they are not shortened to
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- ~0.2mm.
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+ all neighboring fibertube segments of any given point. Because the
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+ search radius is set at the length of the longest fibertube segment,
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+ the performance drops significantly if they are not shortened to
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+ ~0.2mm.
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To resample a tractogram, we can use this script from scilpy:
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@@ -171,8 +171,8 @@ saved in ``metrics.txt``. (Values expressed in mm):
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:alt: max_voxel_rotated visualized in 3D
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Note: This information can be useful for analyzing the
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- reconstruction obtained through tracking, as well as for performing
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- track density imaging.
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+ reconstruction obtained through tracking, as well as for performing
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+ track density imaging.
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Performing fibertube tracking
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-----------------------------
@@ -222,7 +222,7 @@ waiting a little bit, feel free to play with the parameters and explore
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the resulting tractogram.
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Note: Given the time required for each streamline, the
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- ``--processes `` parameter will be very useful.
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+ ``--processes `` parameter will be very useful.
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Reconstruction analysis
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~~~~~~~~~~~~~~~~~~~~~~~
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