SPAARC is available in the following versions
Hero Imaging
Hero Imaging and Cardiff University have an official collaboration to seamlessly integrate SPAARC radiomics extensive features into any Hero’s pipeline.
SPAARC radiomics is released as a Hero Imaging node. By integrating 165 standardized radiomic base-features, with a combination of different 6 types of imaging filters, SPAARC-radiomics empowers researchers and clinicians to perform sophisticated image processing with ease, eliminating the need for manual coding.
This version of SPAARC requires a valid Hero Imaging license and a valid SPAARC radiomics license. For more information please contact us using the form in the “Contact us” section or visit https://www.heroimaging.com.
MATLAB
The original SPAARC package was built with the MATLAB programming language.
In this version SPAARC radiomics is distributed in p-code format and was developed and tested to work on MATLAB 2023b.
To handle the import of DICOM files into MATLAB we use existing functionalities offered by the Computational Environment for Radiological Research (CERR) open-source software.
This version of SPAARC builds on features provided by the following MATLAB toolboxes which are therefore required:
- Image Processing Toolbox
- Statistics and Machine Learning Toolbox
- Signal Processing Toolbox
- Symbolic Math Toolbox
This version of SPAARC is available under a free research license.
For more information, please use the form in the “Contact us” section.
MIM Software
We developed a SPAARC radiomics extension for MIM.
The SPAARC Workflow and sub-Workflow use commands that are common to both the MIM Encore and MIM Maestro licenses.
The MIMfusion Plus license would meet the requirements for the SPAARC Workflows’ commands (Find Contours, Launch Workflow for Each Item, Load RTstruct, Format Text, and Launch extension).
A MIM Assistant license is needed to run the SPAARC Workflow in batch mode on a MIM patient database.
A valid MATLAB license is required to run the SPAARC extension for MIM.
In this version SPAARC radiomics is distributed in p-code format.
SPAARC builds on features provided by the following MATLAB toolboxes which are also required to use the SPAARC radiomics extension:
- Image Processing Toolbox
- Statistics and Machine Learning Toolbox
- Signal Processing Toolbox
- Symbolic Math Toolbox
This version of SPAARC is available under a free research license.
For more information, please use the form in the “Contact us” section.
Python
We have written SPAARC radiomics in the Python programming language.
This version of SPAARC is available under a commercial license.
For more information, please use the form in the “Contact us” section.