Skip to main content

Viewer to visualize neuroimaging chart (NiChart) image descriptors and biomarkers

Project description

Neuroimaging Chart (NiChart) Viewer

NiChart Logo

NiChart viewer [NiChart_Viewer] is a toolbox for visualization of NiChart image descriptors and biomarkers.

Notes

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.

Installation

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

Usage

NiChart_Viewer --data_file infile1.csv --data_file infile2.csv ...

Quickstart

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

Example visualization

Disclaimer

Contact

Guray Erus.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nichart_viewer_demo-1.0.1.tar.gz (2.1 MB view details)

Uploaded Source

File details

Details for the file nichart_viewer_demo-1.0.1.tar.gz.

File metadata

  • Download URL: nichart_viewer_demo-1.0.1.tar.gz
  • Upload date:
  • Size: 2.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.8.8

File hashes

Hashes for nichart_viewer_demo-1.0.1.tar.gz
Algorithm Hash digest
SHA256 96ade93fbf116a9cd1af6c811e6e3ff0355cf3339b59fafd19044337cf8230e3
MD5 e1cc32ee90754de6ed215d99b56bbec4
BLAKE2b-256 ab94fdaee17f5c352ad66b5fa4173f480745fdd811a633af2fdec1e84cbc6252

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page