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LayNii v2.2.1
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@ofgulban ofgulban released this 14 Mar 10:50
· 185 commits to master since this release
v2.2.1
7365b03

Purpose of the release

LN2_MULTILATERATE and LN2_PATCH_FLATTEN focused release to serve as a checkpoint for:

  • Gulban, O. F., Bollmann, S., Huber, R., Wagstyl, K., Goebel, R., Poser, B. A., Kay, K., Ivanov, D. (2021). Mesoscopic Quantification of Cortical Architecture in the Living Human Brain. BioRxiv. https://doi.org/10.1101/2021.11.25.470023

Modifications

  • LN2_LAYERS now outputs approximately equal number of voxels for each layer with -equal_counts flag. This option can be useful for low resolution inputs (e.g. > 0.5 mm iso.). Note: when activating this flag, it will equalize the number of voxels for each layer without respecting equi-distant and equi-volume cortical depth measurements.
  • LN_RAGRUG now has -scale parameter to create rectangular tessellations at lower resolutions (integer multiples of the input voxel dimensions.
  • Binaries for MACOS M1 chip will be included from now on.
  • [v2.2.1] Minor fixes to outputs of LN2_MULTILATERATE and help menu improvements.
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