RADISTAT is a novel radiomic approach driven by the hypothesis that quantifying spatial organization of texture patterns within an ROI could allow for better capturing interactions between different tissue classes present in a given region; thus enabling more accurate characterization of disease or response phenotypes.

Reference MATLAB and Python implementations of RADISTAT are provided. Basic installation instructions for Python are also provided within the relevant subfolder.

Further details can be found in the associated manuscript:

Antunes, JT, Ismail, M, Hossain, I, Wang, Z, Prasanna, P, Madabhushi, A, Tiwari, P, Viswanath, SE, “RADIomic Spatial TexturAl descripTor (RADISTAT): Quantifying spatial organization of textural heterogeneity on imaging associated with tumor response to treatment”, IEEE Journal of Biomedical and Health Informatics, 2022 (PubMed)(IEEE)

Please cite this publication if you make use of this implementation.

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