For the past 25 years, the field of neuroimaging has witnessed the development of several software packages for processing multi-parametric magnetic resonance imaging (mpMRI) to study the brain. These software packages are now routinely used by researchers and clinicians, and have contributed to important breakthroughs for the understanding of brain anatomy and function. However, no software package exists to process mpMRI data of the spinal cord. Despite the numerous clinical needs for such advanced mpMRI protocols (multiple sclerosis, spinal cord injury, cervical spondylotic myelopathy, etc.), researchers have been developing specific tools that, while necessary, do not provide an integrative framework that is compatible with most usages and that is capable of reaching the community at large. This hinders cross-validation and the possibility to perform multi-center studies.
Spinal Cord Toolbox (SCT), a comprehensive -source software dedicated to the processing and analysis of spinal cord MRI data. SCT builds on previously-validated methods and includes state-of-the-art MRI templates and atlases of the spinal cord, algorithms to segment and register new data to the templates, and motion correction methods for diffusion and functional time series. SCT is tailored towards standardization and automation of the processing pipeline, versatility, modularity, and it follows guidelines of software development and distribution. Preliminary applications of SCT cover a variety of studies, from cross-sectional area measures in large databases of patients, to the precise quantification of mpMRI metrics in specific spinal pathways. We anticipate that SCT will bring together the spinal cord neuroimaging community by establishing standard templates and analysis procedures.
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When citing spinalcordtoolbox in academic papers and thesis, please use this BibTeX entry:
@article{DeLeener201724,
title = "SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord \{MRI\} data ",
journal = "NeuroImage ",
volume = "145, Part A",
number = "",
pages = "24 - 43",
year = "2017",
note = "",
issn = "1053-8119",
doi = "https://doi.org/10.1016/j.neuroimage.2016.10.009",
url = "http://www.sciencedirect.com/science/article/pii/S1053811916305560",
author = "Benjamin De Leener and Simon Lévy and Sara M. Dupont and Vladimir S. Fonov and Nikola Stikov and D. Louis Collins and Virginie Callot and Julien Cohen-Adad",
keywords = "Spinal cord",
keywords = "MRI",
keywords = "Software",
keywords = "Template",
keywords = "Atlas",
keywords = "Open-source ",
}
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