diesitcom

A minimal Streamlit-based viewer for DICOM data

This dashboard offers a painless way to quick access both images and metadata from DICOM data. It is realised using ITK and streamlit. More details available in this post.

To run the dashboard using the script run_diesitcom.sh, you need python (3.7) and the following packages:

• streamlit (0.76.0);
• matplotlib (3.1.2);
• pandas (0.25.3);
• SimpleITK (2.0.2).

To directly download the sample data folder from the dash-vtk repository you also need svn (1.14.0). Alternatively, you can just clone the whole repository.

The code was tested on macOS 10.15.7.

Some things to keep in mind:

• the dashboard assumes that the DICOM folders containg the data are in the current folder;
• with some tricks, Streamlit can be run on Colab (an example is here) and on Binder (as done here).