BraTS Toolkit

BraTS Toolkit provides standardized preprocessing, automated segmentation, and consensus fusion to produce reliable brain tumor segmentations for clinical and research applications.


Key Features:

  • BraTS Preprocessor: Performs image conversion, registration, brain extraction, and dataset standardization to ensure consistent input for segmentation algorithms.
  • BraTS Segmentor: Orchestrates state-of-the-art brain tumor segmentation algorithms to generate fully automated segmentations.
  • BraTS Fusionator: Synthesizes multiple candidate segmentations into consensus segmentations using majority voting and iterative SIMPLE fusion.

Scientific Applications:

  • Clinical translation: Supports integration of automated brain tumor segmentation into routine clinical workflows by addressing preprocessing and standardization barriers.
  • Research and algorithm evaluation: Enables deployment, comparison, and ensemble fusion of state-of-the-art segmentation methods to improve segmentation reliability and accuracy.

Methodology:

Computational methods explicitly include image conversion, registration, brain extraction, dataset standardization, automated segmentation with state-of-the-art algorithms, and consensus fusion via majority voting and iterative SIMPLE fusion.

Topics

Details

License:
AGPL-3.0
Tool Type:
workflow
Programming Languages:
Python
Added:
1/18/2021
Last Updated:
2/6/2021

Operations

Publications

Kofler F, Berger C, Waldmannstetter D, Lipkova J, Ezhov I, Tetteh G, Kirschke J, Zimmer C, Wiestler B, Menze BH. BraTS Toolkit: Translating BraTS Brain Tumor Segmentation Algorithms Into Clinical and Scientific Practice. Frontiers in Neuroscience. 2020;14. doi:10.3389/fnins.2020.00125. PMID:32410929. PMCID:PMC7201293.