The Standardized Environment for Radiomics Analysis (SERA) Package is a Matlab®-based framework developed at Johns Hopkins University that calculates radiomic features based on guidelines from the Image Biomarker Standardization Initiative (IBSI). SERA is capable of processing images from various clinical imaging modalities such as CT, MRI, PET and SPECT. Radiomic features calculated with SERA are standardized and in compliance with IBSI, which ensures their reproducibility. This package has been studied in multi-center radiomics standardization works by the IBSI (paper), the NIH Quantitative Imaging Network (QIN) (paper) and two other benchmarking studies (paper, paper), with excellent performances and consistency.

Radiomic Features

SERA calculates up to 487 IBSI-standardized features, including: 79 first-order features (morphology, statistical, histogram and intensity-histogram features), 272 higher-order 2D features, and 136 3D features. In addition, it can also calculate 10 moment invariant features, that are not included in IBSI. Different subsets of features can be selected, such as the default of 215 features (first-order + higher-order 3D).

Access, Questions & Feedback

You can freely access SERA here (GitHub). For any questions or feedback, please contact:


Please cite the following reference if you publish results with help from SERA:

Ashrafinia, Saeed. “Quantitative Nuclear Medicine Imaging using Advanced Image Reconstruction and Radiomics”, Ph.D. Dissertation, Johns Hopkins University, 2019

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