From 2a2cedb722cd08a87b0b7a6071ece8fef376c1e5 Mon Sep 17 00:00:00 2001 From: Antonios Makropoulos Date: Sat, 1 Jun 2019 19:14:11 +0100 Subject: [PATCH] update Readme and scripts --- README.md | 66 ++++++++++++++++++++++++++---------------- scripts/preprocess.sh | 12 +------- segmentation.png | Bin 0 -> 567611 bytes 3 files changed, 42 insertions(+), 36 deletions(-) create mode 100644 segmentation.png diff --git a/README.md b/README.md index e52b48f..4ef27a1 100644 --- a/README.md +++ b/README.md @@ -1,53 +1,69 @@ -Draw-EM Segmentation Software -========================================== +# Draw-EM Segmentation Software + +![segmentation image](segmentation.png) Draw-EM (Developing brain Region Annotation With Expectation-Maximization) is a package of [MIRTK](https://github.com/BioMedIA/MIRTK) developed by Antonios Makropoulos and the [BioMedIA](https://biomedia.doc.ic.ac.uk/) research group. -It provides a collection of command-line tools as well as pipelines for the segmentation of developing brain MR images. +It provides a collection of command-line tools and pipelines for the segmentation of developing brain MR images. + +Draw-EM is used as part of the [dHCP structural pipeline](https://github.com/BioMedIA/dhcp-structural-pipeline) for the structural analysis (segmentation and surface extraction) of the neonatal brain. + +## Dependencies +### FSL -Installation ------------- +The segmentation pipeline uses +[FSL](https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FSL). +See the [installation instructions](https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FslInstallation) for FSL. + + +## Installation Draw-EM is part of MIRTK. -In order to compile it as part of MIRTK you need to do the following steps: -- download (clone) Draw-EM inside the Packages folder of your MIRTK directory -- enable compile of the package by setting the CMake flag "MODULE_DrawEM" of MIRTK to "ON" (using cmake or ccmake) +In order to compile it as part of MIRTK you need to: +- enable compilation of the package by setting the CMake flag "MODULE_DrawEM" of MIRTK to "ON" (using cmake or ccmake) - build MIRTK See the [installation instructions](https://mirtk.github.io/install.html) for a step-by-step guide on how to install MIRTK. -The segmentation pipeline further requires the following: -- The atlases required by Draw-EM need to be downloaded from [here](https://www.doc.ic.ac.uk/~am411/atlases-DrawEM.html) and extracted inside the Draw-EM directory. -- [FSL](http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/) installed -- The N4BiasFieldCorrection from ANTS installed. - -Run ---- +## Running the pipeline -The segmentation pipeline can be run with the following script: +The segmentation pipeline can be run as follows: -pipelines/neonatal-pipeline.sh +mirtk neonatal-segmentation -The script requires the T2 image and the age at scan of the subject to be segmented (as first and second argument respectively). -Run the script without arguments for a detailed list of options. +``` +Arguments: + Nifti Image: The T2 image of the subject to be segmented. + Integer: Subject age in weeks. This is used to select the appropriate template for the initial registration. + If the age is <28w or >44w, it will be set to 28w or 44w respectively. +Options: + -d / -data-dir The directory used to run the script and output the files. + -c / -cleanup <0/1> Whether cleanup of temporary files is required (default: 1) + -p / -save-posteriors <0/1> Whether the structures' posteriors are required (default: 0) + -t / -threads Number of threads (CPU cores) allowed for the registration to run in parallel (default: 1) + -v / -verbose <0/1> Whether the script progress is reported (default: 1) + -h / -help / --help Print usage. +``` -License -------- +## License Draw-EM is distributed under the terms of the Apache License Version 2. See the accompanying [license file](LICENSE.txt) for details. The license enables usage of Draw-EM in both commercial and non-commercial applications, without restrictions on the licensing applied to the combined work. +## Releases +- v1.2: dHCP segmentation pipeline, method improvements described in [2]: multi-channel registration, modelling of hyper and hypo-intensities. +- v1.1: initial code release, method described in [1]. -Citation and acknowledgements ------------------------------ +## Citation and acknowledgements In case you found Draw-EM useful please give appropriate credit to the software. -Publication: +Publications: -A. Makropoulos et al. Automatic whole brain MRI segmentation of the developing neonatal brain, IEEE TMI, 2014 +1. A. Makropoulos et al. *"Automatic whole brain MRI segmentation of the developing neonatal brain"*, IEEE TMI, 2014 +2. A. Makropoulos, E. C. Robinson et al. *"The Developing Human Connectome Project: a Minimal Processing Pipeline for Neonatal Cortical Surface Reconstruction"*, NeuroImage, 2018 diff --git a/scripts/preprocess.sh b/scripts/preprocess.sh index 7c4d1c0..ed3f467 100755 --- a/scripts/preprocess.sh +++ b/scripts/preprocess.sh @@ -32,16 +32,6 @@ else export PATH="$FSLDIR/bin:$PATH" fi -N4=N4 -if ! hash $N4 2>/dev/null; then - N4=N4BiasFieldCorrection - if ! hash $N4 2>/dev/null; then - echo "The N4 command is not installed!" 1>&2; - exit 1; - fi -fi - - sdir=segmentations-data mkdir -p segmentations N4 dofs bias || exit 1 @@ -57,7 +47,7 @@ if [ ! -f N4/$subj.nii.gz ];then fi #bias correct - run $N4 3 -i N4/${subj}_rescaled.nii.gz -x segmentations/${subj}_brain_mask.nii.gz -o "[N4/${subj}_corr.nii.gz,bias/$subj.nii.gz]" -c "[50x50x50,0.001]" -s 2 -b "[100,3]" -t "[0.15,0.01,200]" + run mirtk N4 3 -i N4/${subj}_rescaled.nii.gz -x segmentations/${subj}_brain_mask.nii.gz -o "[N4/${subj}_corr.nii.gz,bias/$subj.nii.gz]" 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