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This project develops the Pediatric Brain MR-T1 Harmonization, a free, open-source web-based application designed at Children's National Hospital as part of the HOPE platform for the segmentation and analysis of pediatric brain tumors in magnetic resonance imaging (MRI). Developed in Python, this software aims to provide tools for harmonizing pediatric brain MRI, to support clinical decision-making in diagnosis and prognosis. The software and instructions are available at hail.hope4kids.io and instructions.
The API documentation for the harmonization is available at Code Documentation.
To run the algorithm using a docker container on your local data follow the steps provided at docker hub.
The online no-installation harmonization web app is available at hail.hope4kids.io.
If you use and/or refer to this software in your research, please cite the following papers:
- Parida, Abhijeet, Zhifan Jiang, Syed Muhammad Anwar, Nicholas Foreman, Nicholas Stence, Michael J. Fisher, Roger J. Packer, Robert A. Avery, and Marius George Linguraru. "Harmonization Across Imaging Locations (HAIL): One-Shot Learning for Brain MRI." arXiv preprint arXiv:2308.11047 (2023).
This software is provided without any warranties or liabilities and is intended for research purposes only. It has not been reviewed or approved for clinical use by the Food and Drug Administration (FDA) or any other federal or state agency.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
