Skip to main content

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.

Metadata

Release files for NiChart-Viewer-Demo 1.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for NiChart-Viewer-Demo 1.0.1
File Size Uploaded
nichart_viewer_demo-1.0.1.tar.gz 2.1 MB Details

Release files / nichart_viewer_demo-1.0.1.tar.gz

Download URL nichart_viewer_demo-1.0.1.tar.gz
Size 2.1 MB
Tags Source
SHA-256 checksum
How to use checksums
96ade93fbf116a9cd1af6c811e6e3ff0355cf3339b59fafd19044337cf8230e3
BLAKE2b-256 checksum
How to use checksums
ab94fdaee17f5c352ad66b5fa4173f480745fdd811a633af2fdec1e84cbc6252
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.8.8

Release history Release notifications | RSS feed

This release

1.0.1 This release

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page