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Viewer to visualize neuroimaging chart (NiChart) image descriptors and biomarkers
NiChart viewer [NiChart_Viewer] is a toolbox for visualization of NiChart image descriptors and biomarkers.
The current version is primarily designed for visualizing NiChart_DLMUSE variables (regions of interest - ROIs) together with age centile curves of select ROIs derived from NiChart reference data.
You may directly install NiChart_Viewer as a package from PyPI, or build it from source.
conda create -n NiChart_Viewer python=3.8.8
conda activate NiChart_Viewer
conda install pip
pip install .
Alternatively:
conda create -n NiChart_Viewer python=3.8.8
conda activate NiChart_Viewer
pip install NiChart_Viewer
NiChart_Viewer --data_file infile1.csv --data_file infile2.csv ...
cd examples/IXI_ROIs
./run_nichart_viewer_IXI.sh
The script launches the viewer using the public IXI dataset as an example (DLMUSE ROIs + demog. file with Age and Sex columns).
After launching the viewer, users can view data tables and select ROIs, correct ROIs for intra-cranial volume (ICV), merge ROI values with demographic variables (Age and Sex), view data distributions and scatter plots of variable pairs, and plot selected variables against NiChart reference centile curves
FAQs
Viewer to visualize neuroimaging chart (NiChart) image descriptors and biomarkers
We found that NiChart-Viewer-Demo demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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